Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan

Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan

Introduction Early intervention in type 2 diabetes can prevent exacerbation of insulin resistance. More effective interventions can be implemented by early and precise prediction of the change in glycated haemoglobin A1c (HbA1c). Artificial intelligence (AI), which has been introduced into various m...

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Bibliographic Details
Main Authors: Zentaro Yamagata, Hiroshi Yokomichi, Tadao Ooka, Hisashi Johno, Kazunori Nakamoto, Yoshioki Yoda
Format: Article
Language:English
Published: BMJ Publishing Group
Series:BMJ Nutrition, Prevention & Health
Online Access:https://nutrition.bmj.com/content/early/2021/03/09/bmjnph-2020-000200.full

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https://nutrition.bmj.com/content/early/2021/03/09/bmjnph-2020-000200.full

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