Machine learning to predict the decision to perform surgery in hepatic echinococcosis.

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Title: Machine learning to predict the decision to perform surgery in hepatic echinococcosis.
Authors: Lissandrin R; Fondazione IRCCS Policlinico San Matteo, SC Malattie Infettive, Pavia, Italy., Cicerone O; University of Pavia, Dipartimento di Scienze Clinico-chirurgiche, Diagnostiche e Pediatriche, Italy., Vola A; Microbiology and Virology Department, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy., D'Alessandro G; University of Pavia, Dipartimento di Medicina Interna e Terapia Medica, Italy., Frassini S; University of Pavia, Dipartimento di Scienze Clinico-chirurgiche, Diagnostiche e Pediatriche, Italy., Manciulli T; University of Florence, Department of Experimental and Clinical Medicine, Florence, Italy., Famularo S; Hepatobiliary Surgery Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Catholic University of the Sacred Heart, Rome, Italy., De Silvestri A; SSD Biostatistica E Clinical Trial Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy., Viganò J; Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, Pavia, Italy., Quaretti P; Fondazione IRCCS Policlinico San Matteo, SS Radiologia Interventistica, Pavia, Italy., Ansaloni L; University of Pavia, Dipartimento di Scienze Clinico-chirurgiche, Diagnostiche e Pediatriche, Italy; Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, Pavia, Italy., Brunetti E; Fondazione IRCCS Policlinico San Matteo, SC Malattie Infettive, Pavia, Italy; University of Pavia, Dipartimento di Scienze Clinico-chirurgiche, Diagnostiche e Pediatriche, Italy., Maestri M; Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, Pavia, Italy. Electronic address: m.maestri@smatteo.pv.it.
Source: HPB : the official journal of the International Hepato Pancreato Biliary Association [HPB (Oxford)] 2025 Apr; Vol. 27 (4), pp. 480-488. Date of Electronic Publication: 2024 Dec 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 100900921 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-2574 (Electronic) Linking ISSN: 1365182X NLM ISO Abbreviation: HPB (Oxford) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1477-2574
DOI:10.1016/j.hpb.2024.12.014