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Machine learning identifies patients risk of cardiovascular death

RiskCardio relies on 15 minutes of a patient’s raw electrocardiogram (ECG) signal

13-Sep-2019

Key points from article :

RiskCardio was created by the Computer Science and Artificial Intelligence Laboratory (CSAIL).

Machine learning model was developed by MIT researchers.

Machine learning model can estimate a patient’s risk of cardiovascular death.

Team hopes to make the dataset more inclusive to account for different ages, ethnicities, and genders.

The study was published in arXiv by Cornell University.

Mentioned in this article:

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arXiv

Repository of electronic preprints.

Computer Science & Artificial Intelligence Laboratory (CSAIL)

Computing research to improve people's living, work and health.

Divya Shanmugam

Doctoral Candidate at MIT.

Topics mentioned on this page:
AI in Healthcare, Heart Disease