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Development and validation of machine learning tools for predicting postoperative complications in acute calculous cholecystitis.

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第一作者： Ottavia,Cicerone

第一单位： Dipartimento di scienze clinico-chirurgiche, diagnostiche e pediatriche, University of Pavia, Pavia, Italy.;Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, P.le Golgi 19, Pavia, 27100, Italy.

作者： Ottavia,Cicerone ^[1] ; Simone,Frassini ^[1] ; Anna,Gallotti ^[2] ; Alessandro,Vanoli ^[3] ; Luca,Ansaloni ^[1] ; Marcello,Maestri ^[4] ; Paola,Fugazzola ^[5] ; S P Ri M A C C ^[5] ; Collaborative Group ^[5]

作者单位： Dipartimento di scienze clinico-chirurgiche, diagnostiche e pediatriche, University of Pavia, Pavia, Italy.;Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, P.le Golgi 19, Pavia, 27100, Italy. ^[1] Fondazione IRCCS Policlinico San Matteo, SC Radiologia, Pavia, Italy. ^[2] Fondazione IRCCS Policlinico San Matteo, SC Anatomia Patologica, Pavia, Italy. ^[3] Dipartimento di scienze clinico-chirurgiche, diagnostiche e pediatriche, University of Pavia, Pavia, Italy. m.maestri@smatteo.pv.it.;Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, P.le Golgi 19, Pavia, 27100, Italy. m.maestri@smatteo.pv.it. ^[4] Fondazione IRCCS Policlinico San Matteo, SC Chirurgia Generale 1, P.le Golgi 19, Pavia, 27100, Italy. ^[5]

关键词 Acute cholecystitis Laparoscopic cholecystectomy Postoperative complications; Machine learning; Risk prediction.

DOI 10.1007/s13304-025-02476-8

PMID 41419723

发布时间 2025-12-19

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准确一般字义偏差语意偏离译文作用小提交