A machine learning approach to evaluate the state of hypertension care coverage: from 2016 steps survey in iran

HIGHLIGHTS

  • who: Hamed Tavolinejad et al. from the , STEPs survey in Iran Institute, Tehran University of Medical Sciences, Tehran, Iran, Tehran Heart Center, Cardiovascular have published the Article: A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran, in the Journal: PLOS ONE of October/12,/2021
  • what: The authors aimed to discover the associations of receiving appropriate interventions through different stages of hypertension care by using the random forest model in a large nationally representative data. This study provides insight into the current state of hypertension care . . .

     

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