IRIS Megazord

In the first article about IRIS Megazord, Henrique explains what drove us to create such an application. It basic is a composition of these previous project which we did:

Hi Community,

This article will demonstrate how to create Patient and Patient Observation Resources by using iris-fhir-client application.

I recommend to read my first article about this app and watch Youtube Video before continue

so let's start

This article will discuss FHIR Questionnaire and QuestionnaireResponse from the creation of the form to the upload on the server and how to fill them.

M:N Relationship is a recurring object of my interest for a long time.
So the subject turns up with me repeatedly.
For this article, I found a nice example with TWO separate M:N relationships. Some M:N².

It is not pure fiction but taken from a closer view of OEX Contests that we run on a regular base.

Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk.

Kidney Disease can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Akshay Singh published a very useful dataset for training ML algorithms in the detection/prediction of kidney disease. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/akshayksingh/kidney-disease-dataset.

Hi Community,

Recently, I migrated a series of Objectscript repositories from XML to UDL format.
After the migration, I was a bit disappointed by the presentation on the GitLab web interface.

Since Objectscript syntax is supported by GitHub, I thought It would be also supported by GitLab. Unfortunately, the library used by GitLab to highlight the code does not have an extension to support Objectscript.

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

My team works on an IRIS interoperability solution which is running on Red Hat OpenShift container platform. I want to test how many messages can be processed by the running webgateway pods and compute pods with data being stored in the mirrored data pods.

Hi Developers!

This is yet another short post that is intended to simplify developers' life. Now we'll talk about how to make GitHub run unit tests with every push to the repository by adding just one file to the repo. For free. On Github Cloud. Sounds great, isn't it?

It is possible and very easy to do. Credit goes to @Dmitry Maslennikov (and his repo), ZPM Package Manager, and GitHub Actions. Let's see how this all works!

One of the crucial business dimensions is the dimension “Where”. It is necessary to know where a customer was born or where he lives. Where will the order be delivered? Where have there been more sales, and where can we sell more? Where are our stores located? From Where is the customer accessing our e-commerce? These and other principal questions use the “Where” dimension. Today the best service to provide geographic accuracy and quality for these data is Google Maps.

Colleagues, hello!

1. Fhir-client-python

This is a simple fhir client in python to practice with fhir resources and CRUD requests to a fhir server.

Note that for the most part auto-completion is activated, that's the main reason to use fhir.resources.

GitHub

I ran into an interesting ObjectScript use case today with a general solution that I wanted to share.

Use case:

I have a JSON array (specifically, in my case, an array of issues from Jira) that I want to aggregate over a few fields - say, category, priority, and issue type. I then want to flatten the aggregates into a simple list with the total for each of the groups. Of course, for the aggregation, it makes sense to use a local array in the form:

agg(category, priority, type) = total

Such that for each record in the input array I can just: