Using bayesian networks with max-min hill-climbing algorithm to detect factors related to multimorbidity

HIGHLIGHTS

  • who: Yafeng Li from the Liverpool John Moores University, United Kingdom have published the paper: Using Bayesian networks with max-min hill-climbing algorithm to detect factors related to multimorbidity, in the Journal: (JOURNAL)
  • what: The authors aimed to construct an MMHC algorithmbased BNs, using Online Open Database, CHARLS 2018, to explore the factors associated with MMD; the authors also aimed to investigate its performance with traditional logistic regression model, discussing the application prospects of BNs in clinical practice, and thus offering a feasible suggestion for improving older people's quality of life. The study . . .

     

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