Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis

Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis

Abstract Background Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven treatment decisions. Machine learning is predicting mortality in S-AKI in a growing number of studies. Therefore, we conducted this systematic review and meta-analysis to investigate the pred...

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Bibliographic Details
Main Authors: Xiangui Lv, Daiqiang Liu, Xinwei Chen, Lvlin Chen, Xiaohui Wang, Xiaomei Xu, Lin Chen, Chao Huang
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Infectious Diseases
Subjects:
Machine learning
Sepsis-associated acute kidney injury
Mortality
Meta-analysis
Online Access:https://doi.org/10.1186/s12879-024-10380-6
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https://doi.org/10.1186/s12879-024-10380-6

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