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Title: RoBERTa-Assisted Outcome Prediction in Ovarian Cancer Cytoreductive Surgery Using Operative Notes
Authors: Laios, Alexandros
Kalampokis, Evangelos
Mamalis, Marios Evangelos
Tarabanis, Constantine
Nugent, David
Thangavelu, Amudha
Theophilou, Georgios
De Jong, Diederick
Type: Article
Subjects: FRASCATI::Medical and Health sciences
FRASCATI::Engineering and technology
Keywords: epithelial ovarian cancer
completecy to reduction
operative notes
natural language processing
machine learning
transfer learning
explainable artificial intelligence
Issue Date: 2023
Source: Cancer Control
Volume: 30
Abstract: Contemporary efforts to predict surgical outcomes focus on the associations between traditional discrete surgical risk factors. We aimed to determine whether natural language processing (NLP) of unstructured operative notes improves the prediction of residual disease in women with advanced epithelial ovarian cancer (EOC) following cytoreductive surgery.
ISSN: 1073-2748
Other Identifiers: 10.1177/10732748231209892
Appears in Collections:Department of Business Administration

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