Using Synthea and Docker for Consistent, Realistic Synthetic Patient Generation.

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • irisdemo-base-synthea

    Synthea in a container. Very easy to run.

  • The code for this Docker Image has its own repository on Github and can be found here for anyone looking to take a look, make custom changes, or contribute: https://github.com/intersystems-community/irisdemo-base-synthea

  • irisdemo-demo-readmission

    Patient Readmissions are said to be the Hello World of Machine Learning in Healthcare. We use this problem to show how IRIS can be used to safely build and operationalize ML models for real time predictions and how this can be integrated into a random application.

  • The Readmission Demo can be found here: https://github.com/intersystems-community/irisdemo-demo-readmission

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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