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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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| 出版年: | BMJ Nutr Prev Health |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMJ Publishing Group
2021
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| 主題: | |
| オンライン･アクセス: | 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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