Answering clinical questions using machine learning: should we look at diastolic blood pressure when tailoring blood pressure control?

HIGHLIGHTS

• who: Maciej Siu0144ski and colleagues from the Department of Internal Medicine, Hypertension and Vascular Diseases, Medical University of Warsaw, Banacha, a, Warsaw, Poland have published the research work: Answering Clinical Questions Using Machine Learning: Should We Look at Diastolic Blood Pressure When Tailoring Blood Pressure Control?, in the Journal: (JOURNAL)
• what: The aim of the study was to apply machine learning (ML) algorithms to determine whether DBP is an important risk factor to predict stroke heart failure (HF) myocardial infarction (MI) and primary outcome in the SPRINT trial database. The SPRINT was a randomized, multi . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.