Death risk prediction model for patients with non-traumatic intracerebral hemorrhage

Death risk prediction model for patients with non-traumatic intracerebral hemorrhage

Abstract Background This study aimed to assess the risk of death from non-traumatic intracerebral hemorrhage (ICH) using a machine learning model. Methods 1274 ICH patients who met the specified inclusion and exclusion criteria were analyzed retrospectively in the MIMIC IV 3.0 database. Patients wer...

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Bibliographic Details
Main Authors: Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Non-traumatic intracerebral hemorrhage
Prediction model
Machine learning
SHAP
Online Access:https://doi.org/10.1186/s12911-025-02865-4
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https://doi.org/10.1186/s12911-025-02865-4

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