Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population

BACKGROUND: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop machine learning (ML)-based models for predicting ASCVD risk in a prospective Chin...

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Detalles Bibliográficos
Autores principales: Fan, Zihao, Du, Zhi, Fu, Jinrong, Zhou, Ying, Zhang, Pengyu, Shi, Chuning, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367272/
https://www.ncbi.nlm.nih.gov/pubmed/37488520
http://dx.doi.org/10.1186/s12911-023-02242-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367272/
https://www.ncbi.nlm.nih.gov/pubmed/37488520
http://dx.doi.org/10.1186/s12911-023-02242-z

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