A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2026-08-03
DOI
https://doi.org/10.1186/s12911-026-03742-4
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis

Xing Hui Li, Zi Sheng Zhao, Yi Fan Ji, J. Chen et al.
BMC Medical Informatics and Decision Making
Pancreatitis Pathology and Treatment
article

A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis

Xing Hui Li, Zi Sheng Zhao, Yi Fan Ji, J. Chen, Hou Dong Zuo, Di Tao, You Qiang Hu, Ting Ting Liu, Xiao Ming Zhang
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision Making
North Sichuan Medical University (CN), Meizhou City People's Hospital (CN), Affiliated Hospital of North Sichuan Medical College (CN), Zigong First People's Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 8%
Pancreatitis Pathology and Treatment
DOIOpen Access PDFOpenAlex
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