Development of machine learning models for predicting unfavorable functional outcomes from preoperative data in patients with chronic subdural hematomas

Chronic subdural hematoma (CSDH) often causes neurological deterioration and is treated with hematoma evacuation. This study aimed to assess the feasibility of various machine learning models to preoperatively predict the functional outcome of patients with CSDH. Data were retrospectively collected...

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Detalles Bibliográficos
Autores principales: Fuse, Yutaro, Nagashima, Yoshitaka, Nishiwaki, Hiroshi, Ohka, Fumiharu, Muramatsu, Yusuke, Araki, Yoshio, Nishimura, Yusuke, Ienaga, Jumpei, Nagatani, Tetsuya, Seki, Yukio, Watanabe, Kazuhiko, Ohno, Kinji, Saito, Ryuta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562441/
https://www.ncbi.nlm.nih.gov/pubmed/37813949
http://dx.doi.org/10.1038/s41598-023-44029-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562441/
https://www.ncbi.nlm.nih.gov/pubmed/37813949
http://dx.doi.org/10.1038/s41598-023-44029-2

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