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Updated: Jun 14, 2025

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痴呆症预测多域风险因素的增量值:一种机器学习方法

Wei Ying Tan1, Carol Anne Hargreaves2, Gavin S Dawe3

  • 1Saw Swee Hock School of Public Health (WYT, SH), National University of Singapore and National University Health System, Singapore.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
|August 29, 2024
PubMed
概括

在老年人中预测痴呆风险通过将各种数据域添加到痴呆风险预测模型 (DRPM) 中得到了改进. 神经成像和临床史数据为不同类型的痴呆症提供了最重要的预测价值.

关键词:
多域名多域名.临床临床临床临床临床临床临床痴呆症 痴呆症是一种痴呆症.机器学习是机器学习.医学史 医学史神经成像是一种神经成像.问卷调查问卷 问卷调查问卷

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