Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach

• 主要な著者: Peng, Li-Ning (著者), Hsiao, Fei-Yuan (著者), Lee, Wei-Ju (著者), Huang, Shih-Tsung (著者), Chen, Liang-Kung (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2020-06-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundUsing big data and the theory of cumulative deficits to develop the multimorbidity frailty index (mFI) has become a widely accepted approach in public health and health care services. However, constructing the mFI using the most critical determinants and stratifying different risk groups w...