A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data-Reference-Cited by-同舟云学术

A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data

Published:2020-03 Issue:3 Volume:24 Page:878-884
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Meng Yiwen^ORCID,Speier William^ORCID,Shufelt Chrisandra,Joung Sandy,E Van Eyk Jennifer,Bairey Merz C. Noel,Lopez Mayra,Spiegel Brennan,Arnold Corey W.^ORCID

Funder

California Initiative to Advance Precision Medicine

National Heart, Lung, and Blood Institute

National Center for Research Resources

National Center for Advancing Translational Sciences

UCLA Clinical Translational Science Institute

Advanced Clinical Biosystems Research Institute

Erika Glazer Endowed Chair in Women's Heart Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/9025311/08734713.pdf?arnumber=8734713

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