Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning

OBJECTIVES: Spontaneous intracerebral hemorrhage remains a major cause of death and disability throughout the world. We tried to establish accurate long‐term outcome prediction models for hypertensive intracerebral hemorrhage (HICH) using CT radiomics and machine learning. METHODS: In a retrospectiv...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Xinghua, Zhang, Jiashu, Yang, Kai, Wang, Qun, Chen, Xiaolei, Xu, Bainan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119849/
https://www.ncbi.nlm.nih.gov/pubmed/33624945
http://dx.doi.org/10.1002/brb3.2085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119849/
https://www.ncbi.nlm.nih.gov/pubmed/33624945
http://dx.doi.org/10.1002/brb3.2085

Ejemplares similares