Comparison of cardiovascular risk prediction models developed using machine learning based on data from a Sri Lankan cohort with World Health Organization risk charts for predicting cardiovascular risk among Sri Lankans: a cohort study.

Journal: BMJ open
PMID:

Abstract

INTRODUCTION: Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.

Authors

  • Chamila Mettananda
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Maheeka Solangaarachchige
    Computer Centre, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Prasanna Haddela
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Anuradha Supun Dassanayake
    Department of Pharmacology, University of Kelaniya Faculty of Medicine, Ragama, Western, Sri Lanka.
  • Anuradhani Kasturiratne
    Department of Public Health, University of Kelaniya Faculty of Medicine, Ragama, Sri Lanka.
  • Rajitha Wickremasinghe
    Department of Public Health, University of Kelaniya Faculty of Medicine, Ragama, Sri Lanka.
  • Norihiro Kato
    Gene Diagnostics and Therapeutics, National Center for Global Health and Medicine Research Institute, Shinjuku-ku, Tokyo, Japan.
  • Hithanadura Janaka de Silva
    Department of Medicine, University of Kelaniya Faculty of Medicine, Ragama, Sri Lanka.