Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model

The CONUT score significantly influences PHLF. The LightGBM model demonstrates the prominent predictive capacity of PHLF.

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Publication Details

Journal
European Journal of Gastroenterology & Hepatology
Published
2025-03-05
DOI
https://doi.org/10.1097/meg.0000000000002965
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
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article

Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model

Y M Shao, Tuerganaili Aji, R Q Zhang, Jun Yuan et al.
1 citations
European Journal of Gastroenterology & Hepatology
Liver Disease Diagnosis and Treatment
1.35
article

Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model

Y M Shao, Tuerganaili Aji, R Q Zhang, Jun Yuan, Qiang Guo
article en
1 citations

Abstract

The CONUT score significantly influences PHLF. The LightGBM model demonstrates the prominent predictive capacity of PHLF.

European Journal of Gastroenterology & HepatologyVol. 37(7)
Xinjiang Medical University (CN)
Zero hunger
Openalex Percentile: Top 21%
Liver Disease Diagnosis and Treatment
1.35
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