A machine learning-based model for predicting the postoperative risk of acute kidney injury in neonates

The ML model that uses the LR algorithm with eight commonly measured variables could serve as a tool to predict postoperative AKI in neonates.

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Publication Details

Journal
Translational Pediatrics
Published
2025-12-01
DOI
https://doi.org/10.21037/tp-2025-428
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A machine learning-based model for predicting the postoperative risk of acute kidney injury in neonates

Manli Zhuang, Saifen Jin, Y. Tang, Tianyin Gao et al.
Translational Pediatrics
Acute Kidney Injury Research
article

A machine learning-based model for predicting the postoperative risk of acute kidney injury in neonates

Manli Zhuang, Saifen Jin, Y. Tang, Tianyin Gao, Liping He
article en

Abstract

The ML model that uses the LR algorithm with eight commonly measured variables could serve as a tool to predict postoperative AKI in neonates.

Translational PediatricsVol. 14(12)
Third Affiliated Hospital of Guangzhou Medical University (CN), Guangzhou Women and Children Medical Center (CN), Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 31%
Acute Kidney Injury Research
DOIOpen Access PDFOpenAlex
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