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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Detalles Bibliográficos
Autores principales: Rusche, Thilo, Wasserthal, Jakob, Breit, Hanns-Christian, Fischer, Urs, Guzman, Raphael, Fiehler, Jens, Psychogios, Marios-Nikos, Sporns, Peter B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094957/
https://www.ncbi.nlm.nih.gov/pubmed/37048712
http://dx.doi.org/10.3390/jcm12072631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094957/
https://www.ncbi.nlm.nih.gov/pubmed/37048712
http://dx.doi.org/10.3390/jcm12072631

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