Machine Learning Platform Turns Health Care Data Into Insights

  • Posted on May 11, 2021
  • Technology
  • By Sonjoy Bhadra
  • 1499 Views

Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.

Machine Learning Platform Turns Health Care Data Into Insights

Over the past decade, hospitals and other health care providers have put massive amounts of time and energy into adopting electronic health care records, turning hastily scribbled doctors' notes into durable sources of information. But collecting these data is less than half the battle. It can take even more time and effort to turn these records into actual insights — ones that use the learnings of the past to inform future decisions.

Cardea, a software system built by researchers and software engineers at MIT's Data to AI Lab (DAI Lab), is built to help with that. By shepherding hospital data through an ever-increasing set of machine learning models, the system could assist hospitals in planning for events as large as global pandemics and as small as no-show appointments.

With Cardea, hospitals may eventually be able to solve "hundreds of different types of machine learning problems," says Kalyan Veeramanchaneni, principal investigator of the DAI Lab and a principal research scientist in MIT's Laboratory for Information and Decision Systems (LIDS). Because the framework is open-source, and uses generalizable techniques, they can also share these solutions with each other, increasing transparency and enabling teamwork.

Author
Sonjoy Bhadra

Sonjoy Bhadra

Sr. Software Engineer
Level 1
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Comments (0)

5 days ago

Super Admin

This is very good article, I like it!!!!!!!!!!!!!!!!!!!!!!
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