This paper is in the following e-collection/theme issue:

Cardiac Risk and Cardiac Risk Calculators (45) Machine Learning (1465) Natural Language Processing (692) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) New Methods (944) Cardiovascular Disease Prevention (137)

Published on in Vol 5, No 1 (2021): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24473, first published .
Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

Authors of this article:

Anietie U Andy1 Author Orcid Image ;   Sharath C Guntuku1, 1, 2 Author Orcid Image ;   Srinath Adusumalli3, 4 Author Orcid Image ;   David A Asch3, 5, 6 Author Orcid Image ;   Peter W Groeneveld5, 6 Author Orcid Image ;   Lyle H Ungar1 Author Orcid Image ;   Raina M Merchant1, 3, 7 Author Orcid Image
Article Authors Cited by (15) Tweetations (19) Metrics

Anietie U Andy   1 , PhD ;   Sharath C Guntuku   1, 1, 2 , PhD ;   Srinath Adusumalli   3, 4 , MD, MSc ;   David A Asch   3, 5, 6 , MD, MBA ;   Peter W Groeneveld   5, 6 , MD, MS ;   Lyle H Ungar   1 , PhD ;   Raina M Merchant   1, 3, 7 , MD, MSHP

1 Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States

2 Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States

3 Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia, PA, United States

4 Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

5 Center for Health Equity Research and Promotion, Corporal Michael J Crescenz VA Medical Center, Philadelphia, PA, United States

6 Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

7 Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Corresponding Author: