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

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

<h4>Introduction and objectives</h4>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 S...

Full description

Saved in:
Bibliographic Details
Main Authors: Chamila Mettananda, Isuru Sanjeewa, Tinul Benthota Arachchi, Avishka Wijesooriya, Chiranjaya Chandrasena, Tolani Weerasinghe, Maheeka Solangaarachchige, Achila Ranasinghe, Isuru Elpitiya, Rashmi Sammandapperuma, Sujeewani Kurukulasooriya, Udaya Ranawaka, Arunasalam Pathmeswaran, Anuradhini Kasturiratne, Nei Kato, Rajitha Wickramasinghe, Prasanna Haddela, Janaka de Silva
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0309843
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1371/journal.pone.0309843

Similar Items