Predictive modeling in cardiovascular disease: an investigation of random forests

HIGHLIGHTS

  • What: In this cardiovascular study, the authors investigate the application of RF in assessment. predicting blood pressure categories, a disease prediction and risk critical
  • Who: Microsoft Office User from the College of Computer Studies, Mindanao State University-Sulu, Sulu, Philippines have published the article: Natural Sciences Engineering Technology Journal [NASET Journal] Predictive Modeling in Cardiovascular Disease: An Investigation of, in the Journal: (JOURNAL)
  • How: For numerical features the authors used the median essential factor to consider in risk assessment imputation method where missing values were Activity Physical activity level (0 inactive 1 active . . .

     

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