Personalised management of women with cervical abnormalities using a clinical decision support scoring system
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- 作者：Maria Kyrgioua ; b ; m.kyrgiou@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Abraham Pouliakisc ; John G. Panayiotidesd ; Niki Margaric ; Panagiotis Bountrise ; George Valasoulisf ; Maria Paraskevaidia ; Evripidis Bilirakisg ; Maria Nasioutzikih ; Aristotelis Loufopoulosh ; Maria Haritoui ; Dimitrios D. Koutsourise ; Petros Karakitsosc ; Evangelos Paraskevaidisf
- 关键词：CIN ; Cervical intra-epithelial neoplasia ; Decision Support Scoring System ; Artificial neural networks ; Multilayer perceptron ; Modelling
- 刊名：Gynecologic Oncology
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：141
- 期：1
- 页码：29-35
- 全文大小：378 K
文摘
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The Clinical Decision Support Scoring System can estimate with high accuracy the histological status of women attending for cytology-based screening.
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Artificial neural networks improve the prediction of CIN2 or worse when compared with cytology and/or HPV DNA test.
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The Clinical Decision Support Scoring System can optimise the personalised management of women with abnormalities at cervical screening.