Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support

We developed an interpretable ML model for prediction of ICU admission in AP patients. It provides clinicians with a reliable tool for early identification and treatment.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-09-23
DOI
https://doi.org/10.1109/tbme.2025.3613361
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support

Min Chen, Jiayi Shi
IEEE Transactions on Biomedical Engineering
Machine Learning in Healthcare
article

Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support

Min Chen, Jiayi Shi
article en

Abstract

We developed an interpretable ML model for prediction of ICU admission in AP patients. It provides clinicians with a reliable tool for early identification and treatment.

IEEE Transactions on Biomedical EngineeringVol. 73(4)
Second Affiliated Hospital of Nanjing Medical University (CN)
Openalex Percentile: Top 86%
Machine Learning in Healthcare
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Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support — Min Chen, Jiayi Shi · IEEE Transactions on Biomedical Engineering (2025) | TGRS Research Map | TGRS