Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units

Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units

Objectives: This study aims to investigate whether the machine learning algorithms could provide an optimal early mortality prediction method compared with other scoring systems for patients with cerebral hemorrhage in intensive care units in clinical practice.Methods: Between 2008 and 2012, from In...

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Bibliographic Details
Main Authors: Ximing Nie, Yuan Cai, Jingyi Liu, Xiran Liu, Jiahui Zhao, Zhonghua Yang, Miao Wen, Liping Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Neurology
Subjects:
intracerebral hemorrhage
machine learning
mortality prediction
ICU
mimic
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2020.610531/full

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https://www.frontiersin.org/articles/10.3389/fneur.2020.610531/full

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