Artificial Intelligence Systems as Prognostic and Predictive Tools in Ovarian Cancer.

Enshaei, A; Robson, C N; Edmondson, R J

Enshaei, A; Robson, C N; Edmondson, R J.

Affiliation

Enshaei A; Medical School, Northern Institute for Cancer Research, University of Newcastle Upon Tyne, Newcastle upon Tyne, UK.
Robson CN; Medical School, Northern Institute for Cancer Research, University of Newcastle Upon Tyne, Newcastle upon Tyne, UK.
Edmondson RJ; Chair of Gynaecological Oncology, Faculty Institute for Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester, UK. richard.edmondson@manchester.ac.uk.

Ann Surg Oncol ; 22(12): 3970-5, 2015 Nov.

Article in En | MEDLINE | ID: mdl-25752894

Subject(s)

Algorithms; Neoplasms, Glandular and Epithelial/surgery; Neural Networks, Computer; Ovarian Neoplasms/surgery; Area Under Curve; Bayes Theorem; Carcinoma, Ovarian Epithelial; Cytoreduction Surgical Procedures; Decision Trees; Female; Humans; Predictive Value of Tests; Prognosis; Proportional Hazards Models; ROC Curve; Support Vector Machine; Survival Rate

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Algorithms / Neural Networks, Computer / Neoplasms, Glandular and Epithelial Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Ann Surg Oncol Journal subject: NEOPLASIAS Year: 2015 Document type: Article Affiliation country: United kingdom Country of publication: United States

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