Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage

Objective: Predicting outcomes after intracerebral hemorrhage (ICH) may help improve patient outcomes. We developed and validated a machine learning prediction model for post-rehabilitation functional outcomes after ICH. Patient selection and explanatory variable settings were based on clinical sign...

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Autori principali:	Shinya Sonobe, Tetsuo Ishikawa, Kuniyasu Niizuma, Eiryo Kawakami, Takuya Ueda, Eichi Takaya, Carlos Makoto Miyauchi, Junya Iwazaki, Ryuzaburo Kochi, Toshiki Endo, Arun Shastry, Vijayananda Jagannatha, Ajay Seth, Atsuhiro Nakagawa, Masahiro Yoshida, Teiji Tominaga
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2022-09-01
Serie:	Interdisciplinary Neurosurgery
Soggetti:	Intracerebral hemorrhage Machine learning prediction Post-rehabilitation functional outcome Design thinking
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2214751922000743
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