Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage

OBJECTIVE: To determine whether machine learning (ML) algorithms can improve the prediction of delayed cerebral ischemia (DCI) and functional outcomes after subarachnoid hemorrhage (SAH). METHODS: ML models and standard models (SMs) were trained to predict DCI and functional outcomes with data colle...

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Bibliografiska uppgifter
I publikationen:Neurology
Huvudupphovsmän: Savarraj, Jude P.J., Hergenroeder, Georgene W., Zhu, Liang, Chang, Tiffany, Park, Soojin, Megjhani, Murad, Vahidy, Farhaan S., Zhao, Zhongming, Kitagawa, Ryan S., Choi, H. Alex
Materialtyp: Artigo
Språk:Inglês
Publicerad: Lippincott Williams & Wilkins 2021
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7905786/
https://ncbi.nlm.nih.gov/pubmed/33184232
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1212/WNL.0000000000011211
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