Predicting AKI in critical patients: An interpretable model based on albumin and fluid balance

This model is highly accurate and may facilitate the early diagnosis of and interventions for AKI.

Authors

Publication Details

Journal
Clinical Nephrology
Published
2024-11-28
DOI
https://doi.org/10.5414/cn111510
Citations
2
Primary Topic
Trauma, Hemostasis, Coagulopathy, Resuscitation
Type
article
Field-Weighted Citation Impact
0.84
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article

Predicting AKI in critical patients: An interpretable model based on albumin and fluid balance

Lan Sun, Xu Bai, Yifan Xu, Yuqi Chen et al.
2 citations
Clinical Nephrology
Trauma, Hemostasis, Coagulopathy, Resuscitation
0.84
article

Predicting AKI in critical patients: An interpretable model based on albumin and fluid balance

Lan Sun, Xu Bai, Yifan Xu, Yuqi Chen, Zengyu Zhang, Yan Qu, Lei Zhong, Siyu Tang
article en
2 citations

Abstract

This model is highly accurate and may facilitate the early diagnosis of and interventions for AKI.

Clinical NephrologyVol. 103(5)
Openalex Percentile: Top 25%
Trauma, Hemostasis, Coagulopathy, Resuscitation
0.84
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Predicting AKI in critical patients: An interpretable model based on albumin and fluid balance — Lan Sun, Xu Bai, et al. · Clinical Nephrology (2024) | TGRS Research Map | TGRS