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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Detalles Bibliográficos
Autores principales: Ooka, Tadao, Johno, Hisashi, Nakamoto, Kazunori, Yoda, Yoshioki, Yokomichi, Hiroshi, Yamagata, Zentaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258057/
https://www.ncbi.nlm.nih.gov/pubmed/34308121
http://dx.doi.org/10.1136/bmjnph-2020-000200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258057/
https://www.ncbi.nlm.nih.gov/pubmed/34308121
http://dx.doi.org/10.1136/bmjnph-2020-000200

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