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Updated: Mar 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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比较后勤回归和人工神经网络模型,分析老年人医疗保险利用率和成本

Jie Chen1,2,3,4, Seyeon Jang1,2,3,4, Min Qi Wang4,5

  • 1Department of Health Policy and Management, School of Public Health, University of Maryland, College Park, MD.

Medical care
|March 2, 2026
PubMed
概括

人工神经网络 (ANN) 和后勤回归同样预测了老年人医疗保健的使用情况. 这两种方法都有效地识别了高成本患者和那些有重新入院或可预防住院的风险的患者.

关键词:
安德森的行为模型.在 CAHPS 找 CAHPS美国医疗保险 (Medicare) 的医疗保险.人工神经网络的人工神经网络费用 费用 费用 费用 费用 费用 费用 费用医疗保健利用率 医疗保健利用率

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