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

Research Infrastructures and Registries (62) Clinical Information and Decision Making (1434) Big Data (245) Machine Learning (1501) Secondary Use of Clinical Data for Research and Surveillance (375) Decision Support for Health Professionals (1210) Cardiac Disease Management (100) Cardiology (164)

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 Tweetations Metrics

Arindam Brahma   1 * , PhD ;   Samir Chatterjee   2 * , PhD ;   Kala Seal   1 * , PhD ;   Ben Fitzpatrick   3 * , PhD ;   Youyou Tao   1 * , PhD

1 Department of Information Systems and Business Analytics, College of Business, Loyola Marymount University, Los Angeles, CA, United States

2 School of Information Systems and Technology, Claremont Graduate University, Claremont, CA, United States

3 Department of Mathematics, Seaver College of Science and Engineering, Loyola Marymount University, Los Angeles, CA, United States

*all authors contributed equally

Corresponding Author:

  • Arindam Brahma, PhD
  • Department of Information Systems and Business Analytics
  • College of Business
  • Loyola Marymount University
  • 1 LMU Drive
  • Los Angeles, CA, 90045
  • United States
  • Phone: 1 9493021030
  • Email: arin.brahma@lmu.edu