Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis

AIMS/INTRODUCTION: Recently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive ability remains inconclusive. This meta‐analysis evaluated the current ability of ML algorithms for predicting incident type 2 d...

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Detalles Bibliográficos
Autores principales: Kodama, Satoru, Fujihara, Kazuya, Horikawa, Chika, Kitazawa, Masaru, Iwanaga, Midori, Kato, Kiminori, Watanabe, Kenichi, Nakagawa, Yoshimi, Matsuzaka, Takashi, Shimano, Hitoshi, Sone, Hirohito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077721/
https://www.ncbi.nlm.nih.gov/pubmed/34942059
http://dx.doi.org/10.1111/jdi.13736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077721/
https://www.ncbi.nlm.nih.gov/pubmed/34942059
http://dx.doi.org/10.1111/jdi.13736

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