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Improving Cardiovascular Risk Prediction of Sri Lankans using Artificial Intelligence Cover

Improving Cardiovascular Risk Prediction of Sri Lankans using Artificial Intelligence

Open Access
|Dec 2024

Authors

C. Mettananda

chamila@kln.ac.lk

University of Kelaniya

M. B. Solangaarachchige

maheeka@kln.ac.lk

University of Kelaniya

P. S. Haddela

prasanna.s@sliit.lk

SLIIT, Malabe

A. S. Dassanayake

anuradhadassa@kln.ac.lk

University of Kelaniya

A. Kasturiratne

arwicks@kln.ac.lk

University of Kelaniya

A. R. Wickramasinghe

nokato@hosp.ncgm.go.jp

National Centre for Global Health and Medicine, Toyama, Shinjuku-ku,Tokyo

H. J. de Silva

hjanakadesilva@gmail.com

University of Kelaniya
Language: English
Page range: 58 - 66
Published on: Dec 30, 2024
Published by: The Library, University of Kelaniya
In partnership with: Paradigm Publishing Services

© 2024 C. Mettananda, M. B. Solangaarachchige, P. S. Haddela, A. S. Dassanayake, A. Kasturiratne, A. R. Wickramasinghe, N. Kato, H. J. de Silva, published by The Library, University of Kelaniya
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.