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
Introduction Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.Objective To develop a CV risk prediction model using machine learning (ML) based on data from a Sri Lankan cohort followed up for 10 years, and to compare the predictions with...
Saved in:
Main Authors: | Anuradhani Kasturiratne, Hithanadura Janaka de Silva, Chamila Mettananda, Anuradha Supun Dassanayake, Norihiro Kato, Rajitha Wickremasinghe, Maheeka Solangaarachchige, Prasanna Haddela |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2025-01-01
|
Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/15/1/e081434.full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genotypic Spectrum in a Cohort of Sri Lankan Patients With Homocystinuria
by: Hewa Warawitage Dilanthi, et al.
Published: (2025-01-01) -
Acute Disseminated Encephalomyelitis Presenting as Bilateral Ptosis in a Sri Lankan Child
by: Ishara Kumarasiri, et al.
Published: (2022-01-01) -
Sri Lankan weevil Myllocerus undecimpustulatus undatus Marshall
by: Anita Neal
Published: (2020-09-01) -
Sri Lankan weevil Myllocerus undecimpustulatus undatus Marshall
by: Anita Neal
Published: (2020-09-01) -
Establishment of Reference Norms for Lung Function Parameters of Healthy Sri Lankan Tamils
by: Mathanki Sooriyakanthan, et al.
Published: (2019-01-01)