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Machine learning to predict cardiovascular risk.

Jose A QuesadaAdriana López PinedaVicente F Gil-GuillénRamón Durazo-ArvizuDomingo Orozco-BeltránAngela López-DomenechConcepción Carratalá-Munuera
Published in: International journal of clinical practice (2019)
Ten of the 15 machine learning methods tested have a better predictive capacity for cardiovascular events and better classification indicators than the SCORE and REGICOR risk assessment scales commonly used in clinical practice in Spain. Machine learning methods should be considered in the development of future cardiovascular risk scales.
Keyphrases
  • machine learning
  • cardiovascular events
  • risk assessment
  • artificial intelligence
  • clinical practice
  • big data
  • coronary artery disease
  • deep learning
  • cardiovascular disease
  • current status
  • heavy metals
  • type diabetes