A novel risk score predicting 30-day hospital re-admission of patients with acute stroke by machine learning model.

Giovanna MercurioBenedetta GottardelliJacopo LenkowiczStefano PatarnelloSimone BellaviaIrene ScalaPierandrea RizzoAntonio Giulio de BelvisAnna Benedetta Del SignoreRiccardo MavigliaMaria Grazia BocciAlessandro OliviFrancesco FranceschiAndrea UrbaniPaolo CalabresiVincenzo ValentiniMassimo AntonelliGiovanni Frisullo

Published in: European journal of neurology (2023)

The identification of risk factors for early re-admission after AS and the elaboration of a score to stratify at discharge time the risk of re-admission can provide a tool for clinicians to plan a personalized follow-up and contain healthcare costs.

Keyphrases

healthcare
emergency department
machine learning
artificial intelligence
health information
acute care
social media