A Hybrid Model for 30-Day Syncope Prognosis Prediction in the Emergency Department

A Hybrid Model for 30-Day Syncope Prognosis Prediction in the Emergency Department

Syncope is a challenging problem in the emergency department (ED) as the available risk prediction tools have suboptimal predictive performances. Predictive models based on machine learning (ML) are promising tools whose application in the context of syncope remains underexplored. The aim of the pre...

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Bibliographic Details
Main Authors: Franca Dipaola, Mauro Gatti, Roberto Menè, Dana Shiffer, Alessandro Giaj Levra, Monica Solbiati, Paolo Villa, Giorgio Costantino, Raffaello Furlan
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Journal of Personalized Medicine
Subjects:
machine learning
syncope
risk stratification
emergency department
Online Access:https://www.mdpi.com/2075-4426/14/1/4

Internet

https://www.mdpi.com/2075-4426/14/1/4

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