Example about an IRIS production using IntegratedML capabilities to get predictions about stays of patients in hospitals
You can find more in-depth information in https://learning.intersystems.com.
New to IRIS Interoperability framework? Have a look at IRIS Interoperability Intro Workshop.
Build the image we will use during the workshop:
$ git clone https://github.com/intersystems-ib/workshop-integratedml-csv
$ cd workshop-integratedml-csv
$ docker-compose build
The main purpose of this example is to get predictions about the stay of a patient with a hip fracture in the hospital. We are going to use real data about episodes in hospitals of the Castilla y León HealthService (SACYL) from Spain. For this example we are going to use the Record Mapper functionality of IRIS to import these data from CSV files. The creation and the training of the model will be executed the specific SQL queries available in IntegratedML
Run the containers we will use in the workshop:
docker-compose up -d
Automatically an IRIS instance will be deployed and a production will be configured and run available to import data to create the prediction model and train it.
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