Comparing Machine Learning Models and Statistical Models for Predicting Heart Failure Events: A Systematic Review and Meta-Analysis

OBJECTIVE: To compare the performance, clinical feasibility, and reliability of statistical and machine learning (ML) models in predicting heart failure (HF) events. BACKGROUND: Although ML models have been proposed to revolutionize medicine, their promise in predicting HF events has not been invest...

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Detalles Bibliográficos
Autores principales: Sun, Zhoujian, Dong, Wei, Shi, Hanrui, Ma, Hong, Cheng, Lechao, Huang, Zhengxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020815/
https://www.ncbi.nlm.nih.gov/pubmed/35463786
http://dx.doi.org/10.3389/fcvm.2022.812276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020815/
https://www.ncbi.nlm.nih.gov/pubmed/35463786
http://dx.doi.org/10.3389/fcvm.2022.812276

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