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

Li-Ning PengFei-Yuan HsiaoWei-Ju LeeShih-Tsung HuangLiang-Kung Chen
Published in: Journal of medical Internet research (2020)
The ML-mFI consists of 38 diseases/deficits that can successfully stratify risk groups associated with all-cause mortality, unplanned hospitalizations, and all-cause ICU admissions in older people, which indicates that precise, patient-centered medical care can be a reality in an aging society.
Keyphrases
  • machine learning
  • traumatic brain injury
  • artificial intelligence
  • mechanical ventilation
  • big data
  • community dwelling
  • deep learning