Machine Learning-Based Prediction for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study

PURPOSE: Machine learning (ML) techniques have emerged as a promising tool to predict risk and make decisions in different medical domains. We aimed to compare the predictive performance of machine learning-based methods for 4-year risk of metabolic syndrome in adults with the previous model using l...

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Detalles Bibliográficos
Autores principales: Zhang, Hui, Chen, Dandan, Shao, Jing, Zou, Ping, Cui, Nianqi, Tang, Leiwen, Wang, Xiyi, Wang, Dan, Wu, Jingjie, Ye, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543031/
https://www.ncbi.nlm.nih.gov/pubmed/34707419
http://dx.doi.org/10.2147/RMHP.S328180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543031/
https://www.ncbi.nlm.nih.gov/pubmed/34707419
http://dx.doi.org/10.2147/RMHP.S328180

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