Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage

Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage

Background: A predictive model can provide physicians, relatives, and patients the accurate information regarding the severity of disease and its predicted outcome. In this study, we used an automated machine-learning-based approach to construct a prognostic model to predict the functional outcome i...

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Bibliographic Details
Main Authors: Hsueh-Lin Wang, Wei-Yen Hsu, Ming-Hsueh Lee, Hsu-Huei Weng, Sheng-Wei Chang, Jen-Tsung Yang, Yuan-Hsiung Tsai
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Neurology
Subjects:
intracerebral hemorrhage
machine-learning
outcome prediction
random forest
auto-WEKA
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.00910/full

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https://www.frontiersin.org/article/10.3389/fneur.2019.00910/full

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