Development of nonlaboratory-based risk prediction models for cardiovascular diseases using conventional and machine learning approaches

Development of nonlaboratory-based risk prediction models for cardiovascular diseases using conventional and machine learning approaches

Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low–middle-income cou...

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Bibliographic Details
Main Authors: Mirza Rizwan, Sajid, Almehmadi, Bader A., Sami, Waqas, Alzahrani, Mansour K., Noryanti, Muhammad, Chesneau, Christophe, Hanif, Anif, Khan, Arshad Ali, Shahbaz, Ahmad
Format: Article
Language:English
Published: MDPI AG 2021
Subjects:
Q Science (General)
QA Mathematics
RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
Online Access:http://umpir.ump.edu.my/id/eprint/33125/1/Development%20of%20nonlaboratory-based%20risk%20prediction%20models%20for%20cardiovascular.pdf

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http://umpir.ump.edu.my/id/eprint/33125/1/Development%20of%20nonlaboratory-based%20risk%20prediction%20models%20for%20cardiovascular.pdf

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