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Aprendizaje automático para predecir resultados funcionales en el ictus isquémico agudo: perspectivas de un registro
Taehoon Ko1,2,3, Kanghyuk Lee1, Yong Uk Kwon4
1Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
La predicción de los resultados del ictus isquémico agudo es un desafío. El aprendizaje automático, en particular el bosque aleatorio, identifica con precisión predictores como la edad más joven, las puntuaciones más bajas de la Escala Nacional de Salud de los Institutos de ictus, la trombectomía y la rehabilitación para obtener pronósticos favorables para el paciente.
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