Development and validation of an interpretable machine learning model for predicting portal vein system thrombosis following splenectomy in Wilson's disease.

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Title: Development and validation of an interpretable machine learning model for predicting portal vein system thrombosis following splenectomy in Wilson's disease.
Authors: Shen Y; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Zheng Z; The second Affiliated Hospital of Anhui University of Chinese Medicine, 300 Shouchun Road, Hefei, Anhui, China., Min HC; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Peng H; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Huang L; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Zhang WZ; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Feng H; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China., Yu QS; The First Affiliated Hospital of Anhui University of Chinese Medicine, 117 Meishan Road, Hefei, 230031, Anhui, China. qsy6312@163.com.
Source: Clinical and experimental medicine [Clin Exp Med] 2026 Apr 02; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 02.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100973405 Publication Model: Electronic Cited Medium: Internet ISSN: 1591-9528 (Electronic) Linking ISSN: 15918890 NLM ISO Abbreviation: Clin Exp Med Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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ISSN:1591-9528
DOI:10.1007/s10238-026-02127-1