Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury
AbstractObjectives This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms.Methods Patients who met the criteria for inclusion were identified in the Medical I...
Main Authors: | Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
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Series: | Renal Failure |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2316267 |
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