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Updated: Jul 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Published on: January 11, 2020

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屏幕:在家庭医疗保健中开发阿尔茨海默病和相关痴呆症风险识别模型

Maryam Zolnoori1, Yolanda Barrón2, Jiyoun Song3

  • 1Columbia University Irving Medical Center, New York, NY, USA; Center for Home Care Policy & Research, VNS Health, New York, NY, USA; School of Nursing, Columbia University, USA.

International journal of medical informatics
|July 16, 2023
PubMed
概括

一种名为HomeADScreen的新模型,使用临床笔记和结构化数据在家庭医疗保健患者中识别阿尔茨海默病和相关痴呆症 (ADRD) 风险. 这种工具有助于早期检测和转诊进行神经学评估.

关键词:
阿尔茨海默氏病和相关痴呆症 (ADRD) 的发生.临床注意事项 临床注意事项在家医疗保健 (HHC)机器学习是机器学习.自然语言处理自然语言处理.

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