Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology

Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology

Machine learning (ML) refers to computational algorithms that iteratively improve their ability to recognize patterns in data. The digitization of our healthcare infrastructure is generating an abundance of data from electronic health records, imaging, wearables, and sensors that can be analyzed by...

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Bibliographic Details
Main Authors: Aamir Javaid, Fawzi Zghyer, Chang Kim, Erin M. Spaulding, Nino Isakadze, Jie Ding, Daniel Kargillis, Yumin Gao, Faisal Rahman, Donald E. Brown, Suchi Saria, Seth S. Martin, Christopher M. Kramer, Roger S. Blumenthal, Francoise A. Marvel
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:American Journal of Preventive Cardiology
Subjects:
Machine learning
Artificial intelligence
Digital health
Cardiovascular disease
Prevention
Wearables
Online Access:http://www.sciencedirect.com/science/article/pii/S2666667722000630

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http://www.sciencedirect.com/science/article/pii/S2666667722000630

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