Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among chinese elderly people

HIGHLIGHTS

• who: Yanbing Zeng from the National Research Council Canada Shanghai Jiao Tong University, China have published the research: Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people, in the Journal: (JOURNAL)
• what: The study showed that almost all combinations of factors had a significant negative association with the risk of cognitive impairment, except the combination of tea consumption and siesta. Based on national survey data focused on the oldest old who had rarely been examined from 2002 to 2014, this study aimed to build a prediction model with . . .
  

   

  

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