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PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.

Giorgio ColangeloMarc RiboEstefanía MontielDidier DomínguezMarta Olivé-GadeaMarián MuchadaAlvaro Garcia-Tornel Garcia-CambaManuel Requena RuizJorge PagolaJesus JuegaDavid Rodríguez-LunaNoelia Rodriguez-VillatoroFederica RizzoBelén TabordaCarlos A MolinaMarta Rubiera
Published in: Stroke (2024)
PRERISK is a novel approach that provides a personalized and fairly accurate risk prediction of stroke recurrence over time. The model has the potential to incorporate dynamic control of risk factors.
Keyphrases
  • artificial intelligence
  • atrial fibrillation
  • risk factors
  • machine learning
  • big data
  • deep learning
  • free survival
  • cerebral ischemia
  • high resolution
  • human health
  • blood brain barrier
  • climate change