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

Cardiac Risk and Cardiac Risk Calculators (24) Machine Learning (1009) Natural Language Processing (492) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (825) Infodemiology and Infoveillance (1008) New Methods (667) Cardiovascular Disease Prevention (82)

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 Andy 1 Author Orcid Image ;   Sharath C Guntuku 1, 1, 2 Author Orcid Image ;   Srinath Adusumalli 3, 4 Author Orcid Image ;   David A Asch 4, 5, 6 Author Orcid Image ;   Peter W Groeneveld 5, 6 Author Orcid Image ;   Lyle H Ungar 1 Author Orcid Image ;   Raina M Merchant 1, 4, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (20) Metrics

Journals

  1. Andy A. Studying How Individuals Who Express the Feeling of Loneliness in an Online Loneliness Forum Communicate in a Nonloneliness Forum: Observational Study. JMIR Formative Research 2021;5(7):e28738 View
  2. Andy A, Sherman G, Guntuku S, Duplaga M. Understanding the expression of loneliness on Twitter across age groups and genders. PLOS ONE 2022;17(9):e0273636 View
  3. Andy A, Andy U. Understanding Communication in an Online Cancer Forum: Content Analysis Study. JMIR Cancer 2021;7(3):e29555 View
  4. Patel R, Tseng C, Choudhry H, Lemdani M, Talmor G, Paskhover B. Applying Machine Learning to Determine Popular Patient Questions About Mentoplasty on Social Media. Aesthetic Plastic Surgery 2022;46(5):2273 View
  5. Andy A, Guidi B. Understanding user communication around loneliness on online forums. PLOS ONE 2021;16(9):e0257791 View
  6. Pičulin M, Smole T, Žunkovič B, Kokalj E, Robnik-Šikonja M, Kukar M, Fotiadis D, Pezoulas V, Tachos N, Barlocco F, Mazzarotto F, Popović D, Maier L, Velicki L, Olivotto I, MacGowan G, Jakovljević D, Filipović N, Bosnić Z. Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning. JMIR Medical Informatics 2022;10(2):e30483 View
  7. El-Jack K, Henderson K, Andy A, Southwick L. Reddit Users' Questions and Concerns about Anesthesia. International Journal of Medical Students 2023;10(4):370 View
  8. Gupta R, Iyengar R, Sharma M, Cannuscio C, Merchant R, Asch D, Mitra N, Grande D. Consumer Views on Privacy Protections and Sharing of Personal Digital Health Information. JAMA Network Open 2023;6(3):e231305 View

Books/Policy Documents

  1. Korepanova A, Abramov M. Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22). View