Development and validation of a cardiovascular risk prediction model for Sri Lankans using machine learning.

Journal: PloS one
PMID: 39436892

Abstract

INTRODUCTION AND OBJECTIVES: Sri Lankans do not have a specific cardiovascular (CV) risk prediction model and therefore, World Health Organization(WHO) risk charts developed for the Southeast Asia Region are being used. We aimed to develop a CV risk prediction model specific for Sri Lankans using machine learning (ML) of data of a population-based, randomly selected cohort of Sri Lankans followed up for 10 years and to validate it in an external cohort.

Authors

  • Chamila Mettananda
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Isuru Sanjeewa
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Tinul Benthota Arachchi
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Avishka Wijesooriya
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Chiranjaya Chandrasena
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Tolani Weerasinghe
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Maheeka Solangaarachchige
    Computer Centre, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Achila Ranasinghe
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Isuru Elpitiya
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Rashmi Sammandapperuma
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Sujeewani Kurukulasooriya
    Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Udaya Ranawaka
    Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Arunasalam Pathmeswaran
    Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Anuradhini Kasturiratne
    Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Nei Kato
    National Centre for Global Health and Medicine, Toyama, Shinjuku-ku, Tokyo, Japan.
  • Rajitha Wickramasinghe
    Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
  • Prasanna Haddela
    Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka.
  • Janaka de Silva
    Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.

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