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

Research Infrastructures and Registries (76) Clinical Information and Decision Making (1842) Big Data (306) Machine Learning (2006) Secondary Use of Clinical Data for Research and Surveillance (461) Decision Support for Health Professionals (1493) Cardiac Disease Management (146) Cardiology (216)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59392, first published .
Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Authors of this article:

Arindam Brahma1 Author Orcid Image ;   Samir Chatterjee2 Author Orcid Image ;   Kala Seal1 Author Orcid Image ;   Ben Fitzpatrick3 Author Orcid Image ;   Youyou Tao1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Miao S, Ji P, Zhu Y, Meng H, Jing M, Sheng R, Zhang X, Ding H, Guo J, Gao W, Yang G, Liu Y. The Construction and Application of a Clinical Decision Support System for Cardiovascular Diseases: Multimodal Data-Driven Development and Validation Study. JMIR Medical Informatics 2025;13:e63186 View
  2. Badawy M, Ramadan N, Hefny H. Toward Reliable Coronary Heart Disease Prediction: Integrating Multi-source Data with Ensemble Machine Learning. Journal of Imaging Informatics in Medicine 2025 View
  3. Chen Z, Li J, Rao H, Zhang J, Xiao Z, Sun W, Xiao M. Fat distribution, inflammatory mechanisms, and cardiovascular disease risk: mediation analysis based on the Framingham risk score. BMC Cardiovascular Disorders 2025;25(1) View