Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan
Abstract Background Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse. We used explainable ML approach to establish 30-day, 90-day and 1-year mortality prediction model in critically ill ventilated...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-03-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-022-01817-6 |