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Predicting hypertension using machine learning: Findings from Qatar Biobank Study.

Latifa A AlKaabiLina S AhmedMaryam F Al AttiyahManar Elsheikh Abdelrahman Elhassan
Published in: PloS one (2020)
Machine learning provides the chance of having a rapid predictive model using non-invasive predictors to screen for hypertension. Future research should consider improving the predictive accuracy of models in larger general populations, including more important predictors and using a variety of algorithms.
Keyphrases
  • machine learning
  • blood pressure
  • artificial intelligence
  • deep learning
  • big data
  • high throughput
  • arterial hypertension
  • sensitive detection