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An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators.

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第一作者： Annarita,Fanizzi

第一单位： Laboratorio Biostatistica e Bioinformatica, I.R.C.C.S. Istituto Tumori 'Giovanni Paolo II', Bari, Italy.

作者： Annarita,Fanizzi ^[1] ; Francesca,Arezzo ^[2] ; Gennaro,Cormio ^[3] ; Maria Colomba,Comes ^[1] ; Gerardo,Cazzato ^[4] ; Luca,Boldrini ^[5] ; Samantha,Bove ^[1] ; Michele,Bollino ^[6] ; Anila,Kardhashi ^[7] ; Erica,Silvestris ^[7] ; Pietro,Quarto ^[3] ; Michele,Mongelli ^[8] ; Emanuele,Naglieri ^[9] ; Rahel,Signorile ^[1] ; Vera,Loizzi ^[3] ; Raffaella,Massafra ^[1]

作者单位： Laboratorio Biostatistica e Bioinformatica, I.R.C.C.S. Istituto Tumori 'Giovanni Paolo II', Bari, Italy. ^[1] Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.;Department of Precision and Regenerative Medicine - Ionian Area, University of Bari "Aldo Moro", Bari, Italy. ^[2] Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.;Interdisciplinar Department of Medicine, University of Bari "Aldo Moro", Bari, Italy. ^[3] Section of Molecular Pathology, Department of Emergency and Organ Transplantation, University of Bari "Aldo Moro", Bari, Italy. ^[4] Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Italy. ^[5] Department of Obstetrics and Gynecology, Division of Gynecologic oncology, Skåne University Hospital and Lund University, Faculty of Medicine, Clinical Sciences, Lund, Sweden. ^[6] Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy. ^[7] Department of Precision and Regenerative Medicine - Ionian Area, University of Bari "Aldo Moro", Bari, Italy. ^[8] Medical Oncology Unit, IRCCS, Istituto Tumori Giovanni Paolo II, Bari, Italy. ^[9]

关键词 gynecological ultrasound machine learning ovarian cancer precision medicine solid adnexal masses