Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit

Abstract This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of in-hospital mortality risk in patients with spontaneous intracerebral hemorrhage (sICH) in the intensive care unit (ICU). We did a retrospective study in our study and identified cases of sIC...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Baojie Mao, Lichao Ling, Yuhang Pan, Rui Zhang, Wanning Zheng, Yanfei Shen, Wei Lu, Yuning Lu, Shanhu Xu, Jiong Wu, Ming Wang, Shu Wan
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-06-01
Subjects:	Spontaneous intracerebral hemorrhage Machine learning Model prediction Intensive care unit MIMIC IV database In-hospital mortality
Online Access:	https://doi.org/10.1038/s41598-024-65128-8