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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sajid, Mirza Rizwan, Almehmadi, Bader A., Sami, Waqas, Alzahrani, Mansour K., Muhammad, Noryanti, Chesneau, Christophe, Hanif, Asif, Khan, Arshad Ali, Shahbaz, Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657087/
https://www.ncbi.nlm.nih.gov/pubmed/34886312
http://dx.doi.org/10.3390/ijerph182312586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657087/
https://www.ncbi.nlm.nih.gov/pubmed/34886312
http://dx.doi.org/10.3390/ijerph182312586

Ejemplares similares