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

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