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Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

Mohammad Ziaul Islam ChowdhuryIffat NaeemHude QuanAlexander A LeungKhokan C SikdarMaeve O'BeirneTanvir Chowdhury Turin
Published in: PloS one (2022)
We attempted to provide a comprehensive evaluation of hypertension risk prediction models. Many models with acceptable-to-good predictive performance were identified. Only a few models were externally validated, and the risk of bias and applicability was a concern in many studies. Overall discrimination was similar between models derived from traditional regression analysis and machine learning methods. More external validation and impact studies to implement the hypertension risk prediction model in clinical practice are required.
Keyphrases
  • machine learning
  • blood pressure
  • clinical practice
  • artificial intelligence
  • big data
  • deep learning
  • case control