JAMES - Joint Automatic Measurement and Evaluation System
JAMES 1.6.4 (May 2024)
Stef van Buuren, Arjan Huizing (TNO Child Health)
Source:vignettes/articles/getting_started.Rmd
getting_started.RmdOverview
JAMES is a web service for creating and interpreting charts of child growth and development. The current version
- provides access to high-quality growth charts used by the Dutch youth health care;
- interchanges data coded according to the Basisdataset JGZ 4.0.1;
- screens for abnormal height, weight and head circumference;
- converts developmental data into the D-score;
- predicts future growth and development.
JAMES is a RESTful API that runs on a remote host. The following
sections illustrate how a client can make requests to JAMES using
various client languages. In principle, any HTTP client
will work with JAMES. The document highlights some applications of the
service and provides pointers to relevant background information.
The service aids in monitoring and evaluating childhood growth. JAMES is created and maintained by the Netherlands Organisation for Applied Scientific Research TNO. Please contact Stef van Buuren <stef.vanbuuren at tno.nl> for further information.
Primary JAMES user functionality
| Verb | API end point | Description | Maps to james function |
|---|---|---|---|
| POST | /data/upload/{dfm} |
Upload child data | upload_data() |
| POST | /charts/draw/{ffm} |
Draw child data on growth chart | draw_chart() |
| POST | /charts/list/{dfm} |
List available growth charts | list_charts() |
| POST | /charts/validate/{dfm} |
Validate a chart code | validate_chartcode() |
| POST | /screeners/list/{dfm} |
List available growth screeners | list_screeners() |
| POST | /screeners/apply/{dfm} |
Apply growth screeners to child data | apply_screeners() |
| GET | /site |
Request empty site | request_site() |
| POST | /site/request/{dfm} |
Request personalised site | request_site() |
| POST | /blend/request/{sfm} |
Obtain a blend from multiple end points | request_blend() |
| POST | /version/{dfm} |
Obtain version information | version() |
| GET | /{session}/{info} |
Extract session details | |
| GET | /{2}/{1}/man |
Consult R help | help({1}_{2}) |
The table lists the defined API end points and the mapping to each end point to the corresponding R function.
The current OpenAPI definition of JAMES is at https://app.swaggerhub.com/apis/stefvanbuuren/james/1.5.4. Note that this definition may evolve over time.
Output formats
JAMES is built on top of the OpenCPU API, a powerful and flexible way for online deployment of R functionality. Although it is possible to use JAMES without knowledge of OpenCPU, it is useful to browse the OpenCPU features.
OpenCPU offers multiple output formats out of the box. JAMES supports
a subset of these through the /{session}/{info} end point.
Here session is a special session code generated by OpenCPU
that identifies the server location containing the results of a request.
The output format info is one of the following:
{info} |
Description |
|---|---|
json |
Function result as JSON |
print |
Function result as formatted as print |
csv |
Function result as comma-separated format |
tab |
Function result as tab-delimited format |
md |
Function result as markdown format |
svglite |
Function result as SVG graph |
warnings |
Warnings from the R execution |
messages |
Messages, especially data validation info |
console |
Console print out, useful for locating errors |
stdout |
Standard output |
info |
Overview of JAMES deployment |
parent |
Parent directory of all OpenCPU session output |
In addition, the user can request the function result in a particular form. JAMES distinguishes the following groups of formats.
| Format group | Description |
|---|---|
dfm |
Data format: json, csv,
tab, md, print,
parent
|
ffm |
Figure format: svglite,
print, parent
|
sfm |
System format: json, print,
parent
|
In general, the user can specify the desired format by appending the format name to the URL. See https://www.opencpu.org/api.html#api-formats for examples.
Features
/version: Obtain version
information
Let us first check whether JAMES is running. The following code makes
a simple request to JAMES to see whether it is alive and to return the
version number of the underlying james R package. We
illustrate both requests in R and in bash.
We first need to install and load packages.
install.packages(c("remotes", "httr", "jsonlite"))
remotes::install_github("growthcharts/jamesclient")
remotes::install_github("growthcharts/jamesdemodata")
remotes::install_github("growthcharts/bdsreader")Let’s find out the JAMES version number. In this document, we define the server that hosts JAMES as follows.
# host <- "http://localhost"
host <- "https://james.groeidiagrammen.nl"
system(paste0("echo ", host, " > .host"))We first illustrate a method that makes two requests to the server.
The following commands call the /version/json end point in
the JAMES API.
r <- james_post(host = host, path = "version/json")We added the /json to the pathname to extract the JSON
representation of the result of the R function
james::version(). The function result is an object of class
james_post and consists of various components.
names(r)## [1] "url" "status_code" "headers" "all_headers" "cookies"
## [6] "content" "date" "times" "request" "handle"
## [11] "request_path" "parsed" "warnings" "messages" "session"
r$url## [1] "https://james.groeidiagrammen.nl/version/json"Most of the element are documented in the response
object in the httr package. For example, we could use the
call httr::status_code(r) to obtain the status code. The
function james_post() adds the last five elements:
-
r$request_pathechoes the endpoint, here/version/json; -
r$parsedis a parsed version of the elementr$content. Here it is a list of elements like names of the package, its date, and so on. In case of an error of the server function, we find the error message here; -
r$warningscontain any warnings thrown during execution; -
r$messagescontain any messages, e.g. data reading errors; -
r$session(like x0ab7872897e988) is a unique session code.
The jamesclient::james_post() function wraps the basis
workhorse httr::POST() that does the actual server request.
For illustration, we may obtain equivalent content by the POST function
directly.
path <- "version/json"
url <- parse_url(host)
url <- modify_url(url, path = file.path(url$path, path), query = "auto_unbox=true")
r <- POST(url)
fromJSON(content(r, type = "text", encoding = "UTF-8"))## $package
## [1] "james"
##
## $packageVersion
## [1] "1.6.4"
##
## $packageDate
## [1] "2024-05-12"
##
## $Rversion
## [1] "4.4.0"We use the curl Linux command. If needed, on Ubuntu
install curl as
Let’s find out the JAMES version number. We first illustrate a method that makes two requests to the server.
The following bash commands call the
/version API end point
curl -sX 'GET' \
'http://localhost:8080/version' \
-H 'accept: text/json'
curl -sX POST $(cat .host)/version > respThe response to the request consists of a set of URLs created on the server, each of which contains details on the response.
## /ocpu/tmp/x0ac8adf9b6b44e/R/.val
## /ocpu/tmp/x0ac8adf9b6b44e/R/version
## /ocpu/tmp/x0ac8adf9b6b44e/stdout
## /ocpu/tmp/x0ac8adf9b6b44e/source
## /ocpu/tmp/x0ac8adf9b6b44e/console
## /ocpu/tmp/x0ac8adf9b6b44e/info
## /ocpu/tmp/x0ac8adf9b6b44e/files/DESCRIPTIONThe path element following tmp/ is a unique session key.
See https://www.opencpu.org/api.html for the interpretation
of the OpenCPU API.
The next snippet constructs the URL of a JSON representation of the
result and downloads the contents of the URL as a file
value1.
## {
## "package": "james",
## "packageVersion": "1.6.4",
## "packageDate": "2024-05-12",
## "Rversion": "4.4.0"
## }The above sequence makes two requests to the server. The following code compacts both steps into one.
## {
## "package": "james",
## "packageVersion": "1.6.4",
## "packageDate": "2024-05-12",
## "Rversion": "4.4.0"
## }
/data/upload: Upload child data
JAMES understands data that conform to the Basisdataset JGZ 4.0.1 coded as JSON according to a JSON schema. This section explains how we create, validate and upload child data to JAMES.
Let us assume that we have already have child data in R
stored as a data.frame or tibble. Here we copy
the longitudinal demo data maria.json from the
bdsreader package into the working directory.
success <- file.copy(system.file("examples/maria.json", package = "bdsreader"),
"maria.json", overwrite = TRUE)The contents of the file is json format, ready for
upload:
{
"OrganisatieCode": 1234,
"Referentie": "fa308134-069e-49ce-9847-ccdae380ed6f",
"ClientGegevens": {
"Elementen": [
{
"Bdsnummer": 19,
"Waarde": "2"
},
{
"Bdsnummer": 20,
"Waarde": "20181011"
},
{
"Bdsnummer": 82,
"Waarde": "189"
},
{
"Bdsnummer": 91,
"Waarde": "2"
},
{
"Bdsnummer": 110,
"Waarde": "990"
},
{
"Bdsnummer": 238,
"Waarde": "1670"
},
{
"Bdsnummer": 240,
"Waarde": "1900"
}
],
"Groepen": [
{
"Elementen": [
{
"Bdsnummer": 63,
"Waarde": "19950704"
},
{
"Bdsnummer": 71
},
{
"Bdsnummer": 62,
"Waarde": "01"
}
]
},
{
"Elementen": [
{
"Bdsnummer": 63,
"Waarde": "19901202"
},
{
"Bdsnummer": 71
},
{
"Bdsnummer": 62,
"Waarde": "02"
}
]
}
]
},
"Contactmomenten": [
{
"Tijdstip": "20181011",
"Elementen": [
{
"Bdsnummer": 245,
"Waarde": "990"
}
]
},
{
"Tijdstip": "20181111",
"Elementen": [
{
"Bdsnummer": 235,
"Waarde": "380"
},
{
"Bdsnummer": 245,
"Waarde": "1250"
},
{
"Bdsnummer": 252,
"Waarde": "270"
}
]
},
{
"Tijdstip": "20181211",
"Elementen": [
{
"Bdsnummer": 235,
"Waarde": "435"
},
{
"Bdsnummer": 245,
"Waarde": "2100"
},
{
"Bdsnummer": 252,
"Waarde": "305"
}
]
}
]
}There are four ways to upload the data to JAMES:
- Upload the file
"maria.json"; - Convert to a string and upload;
- Convert to a JSON object and upload;
- Read the JSON file from a URL.
The /data/upload API end point handles these cases as
follows:
# upload as file
fn <- "maria.json"
r1 <- james_post(host = host, path = "data/upload/json", txt = fn)
status_code(r1)## [1] 201
# upload as string
js <- read_json_js(fn)
r2 <- james_post(host = host, path = "data/upload/json", txt = js)
status_code(r2)## [1] 201
# upload as JSON object
jo <- read_json_jo(fn)
r3 <- james_post(host = host, path = "data/upload/json", txt = jo)
status_code(r3)## [1] 201
# upload as URL
url <- file.path(host, "ocpu/library/bdsreader/examples/maria.json")
r4 <- james_post(host = host, path = "data/upload/json", txt = url)
status_code(r4)## [1] 201If the status is 201, the data are uploaded to JAMES and processed.
For example, the processed data after file upload is available as an R
data frame under element r1$parsed.
r1$parsed## $psn
## id name dob dobm dobf src sex gad ga smo bw hgtm
## 1 -1 Maria 2018-10-11 1990-12-02 1995-07-04 1234 female 189 27 1 990 167
## hgtf
## 1 190
##
## $xyz
## age xname yname zname zref x y z
## 1 0.0849 age hgt hgt_z nl_2012_hgt_female_27 0.0849 38.0000 -0.158
## 2 0.1670 age hgt hgt_z nl_2012_hgt_female_27 0.1670 43.5000 0.047
## 3 0.0000 age wgt wgt_z nl_2012_wgt_female_27 0.0000 0.9900 0.190
## 4 0.0849 age wgt wgt_z nl_2012_wgt_female_27 0.0849 1.2500 -0.203
## 5 0.1670 age wgt wgt_z nl_2012_wgt_female_27 0.1670 2.1000 0.015
## 6 0.0849 age hdc hdc_z nl_2012_hdc_female_27 0.0849 27.0000 -0.709
## 7 0.1670 age hdc hdc_z nl_2012_hdc_female_27 0.1670 30.5000 -0.913
## 8 0.0000 age bmi bmi_z nl_1997_bmi_female_nl 0.0000 NA NA
## 9 0.0849 age bmi bmi_z nl_1997_bmi_female_nl 0.0849 8.6565 -5.719
## 10 0.1670 age bmi bmi_z nl_1997_bmi_female_nl 0.1670 11.0979 -3.767
## 11 0.0000 hgt wfh wfh_z nl_2012_wfh_female_ NA 0.9900 NA
## 12 0.0849 hgt wfh wfh_z nl_2012_wfh_female_ 38.0000 1.2500 -0.001
## 13 0.1670 hgt wfh wfh_z nl_2012_wfh_female_ 43.5000 2.1000 0.326The session details, including the uploaded data, will remain
available for a limited time. After 30 minutes the session is wiped. The
session key is your entrance to the resource within the 30-minute
window. The key can be retrieved as r1$session. For
example, to see the result of the file upload session in markdown
use
(session <- r1$session)## [1] "x061a5793f3bc92"##
##
## * **psn**:
##
## -------------------------------------------------------------------------------
## id name dob dobm dobf src dnr sex gad
## ---- ------- ------------ ------------ ------------ ------ ----- -------- -----
## -1 Maria 2018-10-11 1990-12-02 1995-07-04 1234 NA female 189
## -------------------------------------------------------------------------------
##
## Table: Table continues below
##
##
## -----------------------------------------------------------------------------------
## ga smo bw hgtm hgtf agem etn pc4 blbf blbm eduf edum par
## ---- ----- ----- ------ ------ ------ ----- ----- ------ ------ ------ ------ -----
## 27 1 990 167 190 NA NA NA NA NA NA NA NA
## -----------------------------------------------------------------------------------
##
## * **xyz**:
##
## ----------------------------------------------------------------------------------
## age xname yname zname zref x y z
## -------- ------- ------- ------- ----------------------- -------- ------- --------
## 0.0849 age hgt hgt_z nl_2012_hgt_female_27 0.0849 38 -0.158
##
## 0.167 age hgt hgt_z nl_2012_hgt_female_27 0.167 43.5 0.047
##
## 0 age wgt wgt_z nl_2012_wgt_female_27 0 0.99 0.19
##
## 0.0849 age wgt wgt_z nl_2012_wgt_female_27 0.0849 1.25 -0.203
##
## 0.167 age wgt wgt_z nl_2012_wgt_female_27 0.167 2.1 0.015
##
## 0.0849 age hdc hdc_z nl_2012_hdc_female_27 0.0849 27 -0.709
##
## 0.167 age hdc hdc_z nl_2012_hdc_female_27 0.167 30.5 -0.913
##
## 0 age bmi bmi_z nl_1997_bmi_female_nl 0 NA NA
##
## 0.0849 age bmi bmi_z nl_1997_bmi_female_nl 0.0849 8.657 -5.719
##
## 0.167 age bmi bmi_z nl_1997_bmi_female_nl 0.167 11.1 -3.767
##
## 0 hgt wfh wfh_z nl_2012_wfh_female_ NA 0.99 NA
##
## 0.0849 hgt wfh wfh_z nl_2012_wfh_female_ 38 1.25 -0.001
##
## 0.167 hgt wfh wfh_z nl_2012_wfh_female_ 43.5 2.1 0.326
## ----------------------------------------------------------------------------------
##
##
## <!-- end of list -->Troubleshooting data upload: JAMES executes checks
on the conversion and ranges of the data. To gain efficiency, it does
not automatically validate the input data against the specified JSON
schema. JAMES writes diagnostic, sometimes cryptic, messages to the
directory {session}/messages if it finds a problem. The
user can rerun the data upload with two additional flags that request
extra diagnostic output.
Example: Suppose we compromise the data by removing the required
"clientDetails" and the optional
"nestedDetails" sections. The mangled input data look
like:
{"Format":"3.0","organisationCode":12345,"reference":"Maria's mangled data","clientMeasurements":[{"bdsNumber":235,"values":[{"date":"20181111","value":380},{"date":"20181211","value":435}]}]}Everything appears normal if we read this data by the default:
fn <- "maria-mangled.json"
r5 <- james_post(host = host, path = "data/upload/json", txt = fn)
r5$parsed## $psn
## id name src
## 1 -1 Maria's mangled data 12345
##
## $xyz
## xname yname zname zref y
## 1 age hgt hgt_z nl_1997_hgt__nl 38If we upload with the additional validate = TRUE flag,
JAMES runs the validation of the uploaded JSON against the JSON
schema:
r6 <- james_post(host = host, path = "data/upload/json", txt = fn, validate = TRUE)
mess <- james_get(host = host, path = file.path(r6$session, "messages"))
cat(mess$parsed)## must have required property 'clientDetails'which now indicates that the required JSON element
"clientDetails" is missing.
We may drill down further by setting the
intermediate = TRUE flag. This writes five JSON files that
document the data flow into {session}/files/{*}.json.
For example, we can ask for the input data as read by JAMES by
r7 <- james_post(host = host, path = "data/upload/json", txt = fn, validate = TRUE, intermediate = TRUE)
url <- file.path(host, r7$session, "files/input.json")
url## [1] "https://james.groeidiagrammen.nl/x08a7414b6ffc92/files/input.json"With browseURL(url) we may view the file contents in the
browser. The files directory contains five JSON files:
-
files/input.json: the JSON input data; -
files/bds.json: a data frame with info per BDS number; -
files/ddi.json: result of recoding BDS into GSED item names; -
files/psn.json: known fixed child covariates; -
files/xy.json: time-varying variables.
Inspection of these files may uncover any problems with JAMES’s understanding of the data. If needed, study the underlying R source code at https://raw.githubusercontent.com/growthcharts/bdsreader/master/R/read_bds.R.
The validate and intermediate flag are
useful for development and debugging. In production, we recommend
leaving them at their default value (FALSE) and monitor any
messages written to {session}/messages.
We start from child data in the file maria.json that we
wish to process with JAMES. For testing purposes, you may change the
values, but keep the general structure intact. The following
curl commands uploads the file and processes the data.
## {
## "psn": [
## {
## "id": -1,
## "name": "Maria",
## "dob": "2018-10-11",
## "dobm": "1990-12-02",
## "dobf": "1995-07-04",
## "src": "1234",
## "sex": "female",Alternatively, we may read the file into a JSON string, and upload as follows:
Finally, if the data are located at a URL, use
/charts/draw: Draw child data on
growth chart
Maria is a preterm born at 27 weeks of gestational age. We already uploaded her data. We may now plot her growth data on the A4 chart for preterms as follows:
r5 <- james_post(host = host,
path = "/charts/draw/svglite",
session = r1$session,
chartcode = "PMAAN27", selector = "chartcode",
query = list(height = 29.7/2.54, width = 21/2.54))
mysvg <- tempfile(pattern = "chart", fileext = rep(".svg", 3))
writeLines(r5$parsed, con = mysvg[1])
Maria’s growth plotted on preterm chart, 0-15 months
Alternatively, we may upload data for a new child Laura and plot the data in one step:
fn <- system.file("extdata/bds_v3.0/smocc/Laura_S.json", package = "jamesdemodata")
r6 <- james_post(host = host,
path = "/charts/draw/svglite", txt = fn,
chartcode = "NMBA", selector = "chartcode",
query = list(height = 29.7/2.54, width = 21/2.54))
writeLines(r6$parsed, con = mysvg[2])For A4 sized charts, we recommend to generate the plot with query
arguments list(height = 29.7/2.54, width = 21/2.54), as
illustrated above. If you want to change the chart’s size in your HTML,
use the out.width knitr chunk option, e.g. set
out.width="500px". This gives the following output.
Laura’s growth plotted on chart for Dutch girls, 0-4 years
JAMES features a built-in prediction module based on curve matching. Suppose we want to predict Laura’s height at the 3y9m when Laura is 2 years old. The following chart plots 25 matches to Laura as grey curves. The variation between the grey curves at age 3y9m indicates the likely variation in the prediction. The blue line indicates Laura’s predicted height at age 3y9m.
r7 <- james_post(host = host,
path = "/charts/draw/svglite", txt = fn,
chartcode = "NMBH", dnr = "2-4",
lo = 2.0, hi = 3.75, nmatch = 25,
show_future = TRUE, show_realized = TRUE,
query = list(height = 18/2.54, width = 18/2.54))
writeLines(r7$parsed, con = mysvg[3])For square charts, use query arguments
list(height = 18/2.54, width = 18/2.54) to generate the
plot. In order to get the same age units as the previous chart,
calculate out.width as
500/21*18 = "429px".
Predict Laura’s future height at the age of 3y9m.
Upload maria.json and draw the height data on the
default chart to produce an SVG file. Specify the proper
width and height query parameters.
curl -sX 'POST' $(cat .host)'/charts/draw/svglite?width=7.09&height=7.09' \
-H 'accept: image/*' \
-F 'txt=@maria.json;type=application/json' > maria1.svgWe need to set chartcode and selector
parameters to choose a different chart.
curl -sX 'POST' $(cat .host)'/charts/draw/svglite?width=8.27&height=11.69' \
-H 'accept: image/*' \
-F "chartcode='PMAAN27'" \
-F "selector='chartcode'" \
-F 'txt=@maria.json;type=application/json' > maria2.svgAn alternative is to read the data from a URL, and use the
application/json protocol to specify parameters.
/charts/list: List available growth
charts
JAMES contains a wide variety of built-in growth charts. Each chart
has a unique chartcode. A typical chart code looks like
NJAA. We obtain the full list of chart codes as
r <- james_post(host = host, path = "charts/list/json")
charts <- r$parsedThe charts object is a data frame with 478 rows (charts)
and the following variables:
names(charts)## [1] "chartgrp" "chartcode" "population" "sex" "design"
## [6] "side" "language" "week"JAMES contains charts for various child populations. There are charts for Down syndrome (DS), Hindustan (HS), Moroccan (MA), Dutch (NL)), preterm (PT) and Turkish (TU) children living in the Netherlands and the WHO Growth Standards (WHOblue, WHOpink). These charts contain references for height (hgt), weight (wgt), head circumference (hdc), weight-for-height (wfh), body mass index (bmi) and D-score (dsc), as well as combined charts with multiple references on A4 format (front, back, -hdc).
The most important index variables are population and
side:
## side
## population -hdc back bmi dsc front hdc hgt wfh wgt
## DS 0 6 2 0 6 6 6 4 2
## HS 4 2 2 0 6 2 6 4 2
## MA 0 6 2 0 6 6 6 4 2
## NL 2 8 2 4 8 8 8 4 4
## PT 0 24 0 48 48 24 48 0 48
## TU 0 6 2 0 6 6 6 4 2
## WHOblue 0 0 0 26 2 1 2 1 1
## WHOpink 0 0 0 26 2 1 2 1 1The URL {host}/site (see below) displays the currently
active chart code as a field in the left sidebar.
/charts/validate: Validate chart
codes
The /charts/validate end point attempt to find one or
more user-specified chart codes. For example, the following cocde checkc
five chart codes:
r <- james_post(host = host,
path = "charts/validate/json",
chartcode = c("NMAW", "NJAb", "PJAAN23", "PJAAN25", "dummy"))
r$parsed## [1] TRUE FALSE FALSE TRUE FALSE
/screeners/list: List available growth
screeners
JAMES implements several screening algorithms. The
/screeners/list end point provides detailed information on
each of these.
r <- james_post(host = host, path = "/screeners/list/json",
session = r1$session)
names(r$parsed)## [1] "Versie" "yname" "Categorie"
## [4] "CategorieOmschrijving" "JGZRichtlijn" "Code"
## [7] "CodeOmschrijving"## Categorie
## yname 1000 2000 3000
## hdc 0 0 17
## hgt 45 0 0
## wgt 0 26 0There are currently 88 different codes. Codes ending in
31, e.g., 1031 or 2031 indicate
normal growth, whereas code ending in 41, 42
and so on, signal that - according to the guidelines - the child should
be referred for further investigation.
/screeners/apply: Apply growth
screeners to child data
The /screeners/apply end point applies standard
screeners to the child data. Invoke the screeners by
r <- james_post(host = host, path = "/screeners/apply/json",
session = r1$session)
r$parsed## Categorie CategorieOmschrijving Code
## 1 1000 Lengte 1031
## 2 2000 Gewicht 2031
## 3 3000 Hoofdomtrek 3031
## CodeOmschrijving
## 1 Het advies volgens de JGZ-richtlijn lengtegroei is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.
## 2 Het advies volgens de JGZ-richtlijn overgewicht is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.
## 3 In principe geen verwijzing nodig, naar eigen inzicht handelen.
## Versie Leeftijd
## 1 1.21.0 0.167
## 2 1.21.0 0.167
## 3 1.21.0 0.167The procedure
- calculates, per outcome, the intervals between the most recent measurement and all earlier measurements;
- tests whether any of those intervals produces a signal according the screening algorithm;
- reports the most recent non-standard signal that indicate abnormal growth.
In the example, all returned codes (1031, 2031, 3031) end in “31”,
which signals normal growth. The full table of return codes and messages
can be obtained by the /screeners/list end point (see
above).
There are several possibilities to visualise and integrate multiple evaluations per curve performed in step 2 into one advice. Before May 2023, JAMES returned an advice for each combination of time point and outcome, but that table presented a lot of output that was difficult to act one. Since May 2023, JAMES reports only one signal per curve.
curl -sX 'POST' \
$(cat .host)'/screeners/apply/json' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-F 'txt=@maria.json;type=application/json'## [
## {
## "Categorie": 1000,
## "CategorieOmschrijving": "Lengte",
## "Code": 1031,
## "CodeOmschrijving": "Het advies volgens de JGZ-richtlijn lengtegroei is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.",
## "Versie": "1.21.0",
## "Leeftijd": 0.167
## },
## {
## "Categorie": 2000,
## "CategorieOmschrijving": "Gewicht",
## "Code": 2031,
## "CodeOmschrijving": "Het advies volgens de JGZ-richtlijn overgewicht is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.",
## "Versie": "1.21.0",
## "Leeftijd": 0.167
## },
## {
## "Categorie": 3000,
## "CategorieOmschrijving": "Hoofdomtrek",
## "Code": 3031,
## "CodeOmschrijving": "In principe geen verwijzing nodig, naar eigen inzicht handelen.",
## "Versie": "1.21.0",
## "Leeftijd": 0.167
## }
## ]
/site/request: Request personalised
site
The /site/request end point creates an URL to a
personalised, interactive site containing all charts.
r <- james_post(host = host, path = "/site/request/json",
sitehost = host, txt = js)
r$parsed## [1] "https://james.groeidiagrammen.nl/site?session=x0d1defc19120bf"Run the command and paste the generated URL in the address field of your browser. The starting chart is chosen by JAMES and depends on the age of the child.
Alteratively, we may start from the session created by
/data/upload:
r <- james_post(host = host, path = "/site/request/json",
sitehost = host, session = r1$session)
r$parsed## [1] "https://james.groeidiagrammen.nl/site?session=x061a5793f3bc92"Run the command and paste the generated URL in the address field of your browser. The starting chart is chosen by JAMES and depends on the age of the child.
-d ‘{“sitehost”: “‘$(cat .host)’”}’
/blend/request: Obtain a blend from
multiple end points
The /blend/request end point returns the results of
multiple end points, and thus functions as a one-stop shop. However,
currently it does not support graphics output, so use
/{session}/{info}/svglite or
/charts/draw/svglite for the charts.
fn <- system.file("extdata", "bds_v3.0", "smocc", "Laura_S.json",
package = "jamesdemodata", mustWork = TRUE)
r <- james_post(host = host, path = "/blend/request/json",
sitehost = host, txt = fn)
r$parsed## $txt
## [1] "{\"Format\": \"3.0\",\"organisationCode\": 0,\"reference\": \"Laura S\",\"clientDetails\": [{\"bdsNumber\": 19,\"value\": \"2\"},{\"bdsNumber\": 20,\"value\": \"19890121\"},{\"bdsNumber\": 82,\"value\": 276},{\"bdsNumber\": 91,\"value\": \"2\"},{\"bdsNumber\": 110,\"value\": 2950},{\"bdsNumber\": 238,\"value\": 1640},{\"bdsNumber\": 240,\"value\": 1790}],\"clientMeasurements\": [{\"bdsNumber\": 235,\"values\": [{\"date\": \"19890121\",\"value\": 480},{\"date\": \"19890227\",\"value\": 535},{\"date\": \"19890320\",\"value\": 560},{\"date\": \"19890417\",\"value\": 595},{\"date\": \"19890717\",\"value\": 655},{\"date\": \"19891023\",\"value\": 715},{\"date\": \"19900129\",\"value\": 750},{\"date\": \"19900423\",\"value\": 800},{\"date\": \"19900806\",\"value\": 840},{\"date\": \"19910205\",\"value\": 900}]},{\"bdsNumber\": 245,\"values\": [{\"date\": \"19890121\",\"value\": 2950},{\"date\": \"19890227\",\"value\": 4180},{\"date\": \"19890320\",\"value\": 5000},{\"date\": \"19890417\",\"value\": 5900},{\"date\": \"19890717\",\"value\": 8240},{\"date\": \"19891023\",\"value\": 9650},{\"date\": \"19900129\",\"value\": 10950},{\"date\": \"19900423\",\"value\": 11900},{\"date\": \"19900806\",\"value\": 12800},{\"date\": \"19910205\",\"value\": 13900}]},{\"bdsNumber\": 252,\"values\": [{\"date\": \"19890227\",\"value\": 376},{\"date\": \"19890320\",\"value\": 390},{\"date\": \"19890417\",\"value\": 405},{\"date\": \"19890717\",\"value\": 441},{\"date\": \"19891023\",\"value\": 466},{\"date\": \"19900129\",\"value\": 478},{\"date\": \"19900423\",\"value\": 487},{\"date\": \"19900806\",\"value\": 492},{\"date\": \"19910205\",\"value\": 500}]},{\"bdsNumber\": 879,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 881,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"},{\"date\": \"19890320\",\"value\": \"1\"}]},{\"bdsNumber\": 883,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"},{\"date\": \"19890320\",\"value\": \"1\"}]},{\"bdsNumber\": 884,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 885,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 886,\"values\": [{\"date\": \"19890320\",\"value\": \"2\"},{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"3\"}]},{\"bdsNumber\": 887,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 888,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 889,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 890,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 891,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 892,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 893,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 894,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 896,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 897,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 898,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 900,\"values\": [{\"date\": \"19900129\",\"value\": \"3\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 902,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"1\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 903,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 905,\"values\": [{\"date\": \"19900423\",\"value\": \"1\"},{\"date\": \"19900806\",\"value\": \"1\"}]},{\"bdsNumber\": 906,\"values\": [{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 907,\"values\": [{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 909,\"values\": [{\"date\": \"19900806\",\"value\": \"3\"},{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 910,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 912,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 921,\"values\": [{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 927,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 928,\"values\": [{\"date\": \"19890227\",\"value\": \"2\"}]},{\"bdsNumber\": 930,\"values\": [{\"date\": \"19890320\",\"value\": \"3\"},{\"date\": \"19890417\",\"value\": \"3\"}]},{\"bdsNumber\": 932,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 933,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 935,\"values\": [{\"date\": \"19891023\",\"value\": \"2\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 936,\"values\": [{\"date\": \"19900129\",\"value\": \"2\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 937,\"values\": [{\"date\": \"19900129\",\"value\": \"2\"},{\"date\": \"19900423\",\"value\": \"3\"}]},{\"bdsNumber\": 938,\"values\": [{\"date\": \"19900423\",\"value\": \"3\"},{\"date\": \"19900806\",\"value\": \"3\"}]},{\"bdsNumber\": 940,\"values\": [{\"date\": \"19900806\",\"value\": \"3\"},{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 943,\"values\": [{\"date\": \"19910205\",\"value\": \"3\"}]},{\"bdsNumber\": 945,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 955,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 956,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 958,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 959,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 961,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 962,\"values\": [{\"date\": \"19890417\",\"value\": \"2\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 964,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"}]},{\"bdsNumber\": 966,\"values\": [{\"date\": \"19890227\",\"value\": \"1\"},{\"date\": \"19890417\",\"value\": \"1\"}]},{\"bdsNumber\": 968,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 969,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 970,\"values\": [{\"date\": \"19890417\",\"value\": \"1\"},{\"date\": \"19890717\",\"value\": \"1\"}]},{\"bdsNumber\": 973,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"3\"}]},{\"bdsNumber\": 975,\"values\": [{\"date\": \"19890717\",\"value\": \"1\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 976,\"values\": [{\"date\": \"19890717\",\"value\": \"2\"},{\"date\": \"19891023\",\"value\": \"1\"}]},{\"bdsNumber\": 978,\"values\": [{\"date\": \"19891023\",\"value\": \"1\"},{\"date\": \"19900129\",\"value\": \"1\"}]},{\"bdsNumber\": 980,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]},{\"bdsNumber\": 982,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 984,\"values\": [{\"date\": \"19900129\",\"value\": \"1\"},{\"date\": \"19900423\",\"value\": \"1\"}]},{\"bdsNumber\": 986,\"values\": [{\"date\": \"19900423\",\"value\": \"1\"},{\"date\": \"19900806\",\"value\": \"1\"}]},{\"bdsNumber\": 989,\"values\": [{\"date\": \"19900423\",\"value\": \"2\"},{\"date\": \"19900806\",\"value\": \"2\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 991,\"values\": [{\"date\": \"19900806\",\"value\": \"1\"},{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 993,\"values\": [{\"date\": \"19910205\",\"value\": \"1\"}]},{\"bdsNumber\": 1278,\"values\": [{\"date\": \"19891023\",\"value\": \"3\"},{\"date\": \"19900129\",\"value\": \"3\"}]}],\"nestedDetails\": [{\"nestingBdsNumber\": 62,\"nestingCode\": \"02\",\"clientDetails\": [{\"bdsNumber\": 63,\"value\": \"19610722\"}]}]}"
##
## $session
## [1] "x0e5d5434724990"
##
## $site
## [1] "https://james.groeidiagrammen.nl/site?session=x0e5d5434724990"
##
## $child
## id name dob dobm src sex gad ga smo bw hgtm hgtf
## 1 -1 Laura S 1989-01-21 1961-07-22 0 female 276 39 0 2950 164 179
##
## $time
## age xname yname zname zref x y z
## 1 0.0000 age hgt hgt_z nl_1997_hgt_female_nl 0.0000 48.0000 -1.515
## 2 0.1013 age hgt hgt_z nl_1997_hgt_female_nl 0.1013 53.5000 -0.499
## 3 0.1588 age hgt hgt_z nl_1997_hgt_female_nl 0.1588 56.0000 -0.261
## 4 0.2355 age hgt hgt_z nl_1997_hgt_female_nl 0.2355 59.5000 0.163
## 5 0.4846 age hgt hgt_z nl_1997_hgt_female_nl 0.4846 65.5000 -0.259
## 6 0.7529 age hgt hgt_z nl_1997_hgt_female_nl 0.7529 71.5000 0.131
## 7 1.0212 age hgt hgt_z nl_1997_hgt_female_nl 1.0212 75.0000 -0.180
## 8 1.2512 age hgt hgt_z nl_1997_hgt_female_nl 1.2512 80.0000 0.421
## 9 1.5387 age hgt hgt_z nl_1997_hgt_female_nl 1.5387 84.0000 0.527
## 10 2.0397 age hgt hgt_z nl_1997_hgt_female_nl 2.0397 90.0000 0.670
## 11 0.0000 age wgt wgt_z nl_1997_wgt_female_nl 0.0000 2.9500 -1.055
## 12 0.1013 age wgt wgt_z nl_1997_wgt_female_nl 0.1013 4.1800 -0.162
## 13 0.1588 age wgt wgt_z nl_1997_wgt_female_nl 0.1588 5.0000 0.401
## 14 0.2355 age wgt wgt_z nl_1997_wgt_female_nl 0.2355 5.9000 0.717
## 15 0.4846 age wgt wgt_z nl_1997_wgt_female_nl 0.4846 8.2400 1.173
## 16 0.7529 age wgt wgt_z nl_1997_wgt_female_nl 0.7529 9.6500 1.052
## 17 1.0212 age wgt wgt_z nl_1997_wgt_female_nl 1.0212 10.9500 1.164
## 18 1.2512 age wgt wgt_z nl_1997_wgt_female_nl 1.2512 11.9000 1.247
## 19 1.5387 age wgt wgt_z nl_1997_wgt_female_nl 1.5387 12.8000 1.228
## 20 2.0397 age wgt wgt_z nl_1997_wgt_female_nl 2.0397 13.9000 0.989
## 21 0.1013 age hdc hdc_z nl_1997_hdc_female_nl 0.1013 37.6000 0.418
## 22 0.1588 age hdc hdc_z nl_1997_hdc_female_nl 0.1588 39.0000 0.605
## 23 0.2355 age hdc hdc_z nl_1997_hdc_female_nl 0.2355 40.5000 0.696
## 24 0.4846 age hdc hdc_z nl_1997_hdc_female_nl 0.4846 44.1000 1.021
## 25 0.7529 age hdc hdc_z nl_1997_hdc_female_nl 0.7529 46.6000 1.418
## 26 1.0212 age hdc hdc_z nl_1997_hdc_female_nl 1.0212 47.8000 1.307
## 27 1.2512 age hdc hdc_z nl_1997_hdc_female_nl 1.2512 48.7000 1.373
## 28 1.5387 age hdc hdc_z nl_1997_hdc_female_nl 1.5387 49.2000 1.246
## 29 2.0397 age hdc hdc_z nl_1997_hdc_female_nl 2.0397 50.0000 1.224
## 30 0.0000 age bmi bmi_z nl_1997_bmi_female_nl 0.0000 12.8038 0.259
## 31 0.1013 age bmi bmi_z nl_1997_bmi_female_nl 0.1013 14.6039 0.231
## 32 0.1588 age bmi bmi_z nl_1997_bmi_female_nl 0.1588 15.9439 0.701
## 33 0.2355 age bmi bmi_z nl_1997_bmi_female_nl 0.2355 16.6655 0.734
## 34 0.4846 age bmi bmi_z nl_1997_bmi_female_nl 0.4846 19.2063 1.688
## 35 0.7529 age bmi bmi_z nl_1997_bmi_female_nl 0.7529 18.8762 1.325
## 36 1.0212 age bmi bmi_z nl_1997_bmi_female_nl 1.0212 19.4667 1.780
## 37 1.2512 age bmi bmi_z nl_1997_bmi_female_nl 1.2512 18.5937 1.394
## 38 1.5387 age bmi bmi_z nl_1997_bmi_female_nl 1.5387 18.1406 1.277
## 39 2.0397 age bmi bmi_z nl_1997_bmi_female_nl 2.0397 17.1605 0.825
## 40 0.1013 age dsc dsc_z ph_2023_dsc_female_40 0.1013 14.7900 -0.321
## 41 0.1588 age dsc dsc_z ph_2023_dsc_female_40 0.1588 16.0100 -0.569
## 42 0.2355 age dsc dsc_z ph_2023_dsc_female_40 0.2355 19.8500 -0.337
## 43 0.4846 age dsc dsc_z ph_2023_dsc_female_40 0.4846 23.9300 -1.897
## 44 0.7529 age dsc dsc_z ph_2023_dsc_female_40 0.7529 40.9600 -0.113
## 45 1.0212 age dsc dsc_z ph_2023_dsc_female_40 1.0212 48.7400 0.087
## 46 1.2512 age dsc dsc_z ph_2023_dsc_female_40 1.2512 52.4700 -0.207
## 47 1.5387 age dsc dsc_z ph_2023_dsc_female_40 1.5387 54.6500 -0.913
## 48 2.0397 age dsc dsc_z ph_2023_dsc_female_40 2.0397 68.3400 1.041
## 49 0.0000 hgt wfh wfh_z nl_1997_wfh_female_nla 48.0000 2.9500 NA
## 50 0.1013 hgt wfh wfh_z nl_1997_wfh_female_nla 53.5000 4.1800 0.215
## 51 0.1588 hgt wfh wfh_z nl_1997_wfh_female_nla 56.0000 5.0000 0.764
## 52 0.2355 hgt wfh wfh_z nl_1997_wfh_female_nla 59.5000 5.9000 0.744
## 53 0.4846 hgt wfh wfh_z nl_1997_wfh_female_nla 65.5000 8.2400 1.728
## 54 0.7529 hgt wfh wfh_z nl_1997_wfh_female_nla 71.5000 9.6500 1.342
## 55 1.0212 hgt wfh wfh_z nl_1997_wfh_female_nla 75.0000 10.9500 1.726
## 56 1.2512 hgt wfh wfh_z nl_1997_wfh_female_nla 80.0000 11.9000 1.379
## 57 1.5387 hgt wfh wfh_z nl_1997_wfh_female_nla 84.0000 12.8000 1.242
## 58 2.0397 hgt wfh wfh_z nl_1997_wfh_female_nla 90.0000 13.9000 0.820
##
## $screeners
## Categorie CategorieOmschrijving Code
## 1 1000 Lengte 1031
## 2 2000 Gewicht 2075
## 3 3000 Hoofdomtrek 3021
## CodeOmschrijving
## 1 Het advies volgens de JGZ-richtlijn lengtegroei is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.
## 2 Het advies volgens de JGZ-richtlijn ondergewicht is als volgt: Sterke gewichtsafname (-1 SD), advies: Is er sprake van een afwijkende voedingstoestand en/of klachten of symptomen die kunnen wijzen op onderliggende ziekte of problemen? Indien ja, Verwijzen naar kinderarts. Indien nee, dan is er in principe geen verwijzing nodig. Naar eigen inzicht handelen.
## 3 De richtlijn hoofdomtrek is bedoeld voor kinderen tot 1 jaar.
## Versie Leeftijd
## 1 1.21.0 2.0397
## 2 1.21.0 2.0397
## 3 1.21.0 2.0397curl -sX 'POST' \
$(cat .host)'/blend/request/json' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"txt": "'$(cat .host)'/ocpu/library/bdsreader/examples/Laura_S.json",
"sitehost": "'$(cat .host)'",
"blend": "standard"
}'## {
## "txt": "https://james.groeidiagrammen.nl/ocpu/library/bdsreader/examples/Laura_S.json",
## "session": "x0b1b7bc83985b1",
## "site": "https://james.groeidiagrammen.nl/site?session=x0b1b7bc83985b1",
## "child": [
## {
## "id": -1,
## "name": "Laura S",
## "dob": "1989-01-21",
## "dobm": "1961-07-22",
## "src": "0",
## "sex": "female",
## "gad": 276,
## "ga": 39,
## "smo": 0,
## "bw": 2950,
## "hgtm": 164,
## "hgtf": 179
## }
## ],
## "time": [
## {
## "age": 0,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0,
## "y": 48,
## "z": -1.515
## },
## {
## "age": 0.1013,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0.1013,
## "y": 53.5,
## "z": -0.499
## },
## {
## "age": 0.1588,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0.1588,
## "y": 56,
## "z": -0.261
## },
## {
## "age": 0.2355,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0.2355,
## "y": 59.5,
## "z": 0.163
## },
## {
## "age": 0.4846,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0.4846,
## "y": 65.5,
## "z": -0.259
## },
## {
## "age": 0.7529,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 0.7529,
## "y": 71.5,
## "z": 0.131
## },
## {
## "age": 1.0212,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 1.0212,
## "y": 75,
## "z": -0.18
## },
## {
## "age": 1.2512,
## "xname": "age",
## "yname": "hgt",
## "zname": "hgt_z",
## "zref": "nl_1997_hgt_female_nl",
## "x": 1.2512,
## "y": 80,
## "z": 0.421
## },
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## "y": 13.9,
## "z": 0.82
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## ],
## "screeners": [
## {
## "Categorie": 1000,
## "CategorieOmschrijving": "Lengte",
## "Code": 1031,
## "CodeOmschrijving": "Het advies volgens de JGZ-richtlijn lengtegroei is als volgt: In principe geen verwijzing nodig, naar eigen inzicht handelen.",
## "Versie": "1.21.0",
## "Leeftijd": 2.0397
## },
## {
## "Categorie": 2000,
## "CategorieOmschrijving": "Gewicht",
## "Code": 2075,
## "CodeOmschrijving": "Het advies volgens de JGZ-richtlijn ondergewicht is als volgt: Sterke gewichtsafname (-1 SD), advies: Is er sprake van een afwijkende voedingstoestand en/of klachten of symptomen die kunnen wijzen op onderliggende ziekte of problemen? Indien ja, Verwijzen naar kinderarts. Indien nee, dan is er in principe geen verwijzing nodig. Naar eigen inzicht handelen.",
## "Versie": "1.21.0",
## "Leeftijd": 2.0397
## },
## {
## "Categorie": 3000,
## "CategorieOmschrijving": "Hoofdomtrek",
## "Code": 3021,
## "CodeOmschrijving": "De richtlijn hoofdomtrek is bedoeld voor kinderen tot 1 jaar.",
## "Versie": "1.21.0",
## "Leeftijd": 2.0397
## }
## ]
## }Resources
Internal
| Description | Status |
|---|---|
| Changelog | open |
| OpenAPI specification | open |
| Source files | open |
| JSON data schema 3.0 | open |
| JAMES issue tracker | open |
External
| Description | Status |
|---|---|
| JAMES demo | current |
| Basisdataset JGZ | current |
| OpenCPU API | current |