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

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

Abstract 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...

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Bibliographic Details
Main Authors: Satoru Kodama, Kazuya Fujihara, Chika Horikawa, Masaru Kitazawa, Midori Iwanaga, Kiminori Kato, Kenichi Watanabe, Yoshimi Nakagawa, Takashi Matsuzaka, Hitoshi Shimano, Hirohito Sone
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:Journal of Diabetes Investigation
Subjects:
Machine learning
Meta‐analysis
Type 2 diabetes mellitus
Online Access:https://doi.org/10.1111/jdi.13736

Internet

https://doi.org/10.1111/jdi.13736

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