Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage

Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage

Objective: Intracerebral hemorrhage (ICH) has a high mortality and long-term morbidity and thus has a significant overall health–economic impact. Outcomes are especially poor if the exact onset is unknown, but reliable imaging-based methods for onset estimation have not been established. We hypothes...

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Bibliographic Details
Main Authors: Thilo Rusche, Jakob Wasserthal, Hanns-Christian Breit, Urs Fischer, Raphael Guzman, Jens Fiehler, Marios-Nikos Psychogios, Peter B. Sporns
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
onset prediction
intracerebral hemorrhage
machine learning
Online Access:https://www.mdpi.com/2077-0383/12/7/2631

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https://www.mdpi.com/2077-0383/12/7/2631

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