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

Preprints (earlier versions) of this paper are available at, 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


  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
  9. Sedlakova J, Daniore P, Horn Wintsch A, Wolf M, Stanikic M, Haag C, Sieber C, Schneider G, Staub K, Alois Ettlin D, Grübner O, Rinaldi F, von Wyl V, Sarmiento R. Challenges and best practices for digital unstructured data enrichment in health research: A systematic narrative review. PLOS Digital Health 2023;2(10):e0000347 View
  10. de Koning E, van der Haas Y, Saguna S, Stoop E, Bosch J, Beeres S, Schalij M, Boogers M. AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study. JMIR Cardio 2023;7:e51375 View
  11. Cai Y, Cai Y, Tang L, Wang Y, Gong M, Jing T, Li H, Li-Ling J, Hu W, Yin Z, Gong D, Zhang G. Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review. BMC Medicine 2024;22(1) View
  12. Wang W, Blackburn K, Thompson R, Bajaj K, Pedler R, Fucci K. Trauma Isn’t One Size Fits All: How Online Support Communities Point to Different Diagnostic Criteria for C-PTSD and PTSD. Health Communication 2024:1 View
  13. Pater J, Coupe A, Nova F, Pfafman R, Carroll J, Brouwer A, Bohn C, Li J, Todd N, Chang F, Guha S. Social Media is not a Health Proxy: Differences Between Social Media and Electronic Health Record Reports of Post-COVID Symptoms. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View

Books/Policy Documents

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