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...

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Bibliographic Details
Published in:BMJ Nutr Prev Health
Main Authors: Ooka, Tadao, Johno, Hisashi, Nakamoto, Kazunori, Yoda, Yoshioki, Yokomichi, Hiroshi, Yamagata, Zentaro
Format: Artigo
Language:Inglês
Published: BMJ Publishing Group 2021
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Original Research
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8258057/
https://ncbi.nlm.nih.gov/pubmed/34308121
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjnph-2020-000200
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