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

Giorgio Colangelo Marc RiboEstefanía MontielDidier DomínguezMarta Olivé-GadeaMarián Muchada Alvaro Garcia-Tornel Garcia-Camba Manuel Requena Ruiz Jorge Pagola Jesus Juega David Rodríguez-LunaNoelia Rodriguez-VillatoroFederica RizzoBelén TabordaCarlos A Molina Marta 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
risk assessment
mass spectrometry
blood brain barrier