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Updated: Jan 30, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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机器学习模型的开发和验证,用于使用日本的索赔数据进行脆弱查:长寿改善和公平证据研究

Kengo Kawaguchi1, Megumi Maeda2, Futoshi Oda2

  • 1Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan; Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan.

Experimental gerontology
|January 28, 2026
PubMed
概括

一个新的机器学习模型使用索赔数据预测脆弱性,识别高死亡风险的老年人. 这种方法为人口健康管理提供了可扩展的脆弱性查.

关键词:
脆弱性 脆弱性 脆弱性机器学习 机器学习预测死亡率的预测.公共卫生查检查现实世界的数据数据.

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