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One-Stop Machine Learning Platform Turns Healthcare Data Into Insights

By MIT News

April 15, 2021

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Software developed by researchers at the Massachusetts Institute of Technology (MIT) uses machine learning to transform healthcare data into insights that can inform decision-making.

The open-source software system, called Cardea, works with Fast Healthcare Interoperability Resources (FHIR), the current industry standard for electronic healthcare records.

MIT's Kalyan Veeramanchaneni said the software can "adapt to different conditions and different datasets seamlessly," which is important because hospital use of FHIR varies.

After gathering information from the user, Cardea asks what they want to learn, allowing them to choose among different models, then uses the dataset and models to learn patterns and make predictions.

It also performs model audits to help users determine whether to accept the results or begin again with a new model.

MIT's Sarah Alnegheimish said the goal is for Cardea to ultimately "solve any prediction problem within the healthcare domain."

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