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Development of a clinical decision support system using genetic algorithms and Bayesian classification for improving the personalised management of women attending a colposcopy room.

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第一作者： Panagiotis,Bountris

第一单位： Biomedical Engineering Laboratory, School of Electrical and Computer Engineering , National Technical University of Athens , Athens 15773 , Greece.

作者： Panagiotis,Bountris ^[1] ; Elena,Topaka ^[1] ; Abraham,Pouliakis ^[2] ; Maria,Haritou ^[3] ; Petros,Karakitsos ^[2] ; Dimitrios,Koutsouris ^[1]

作者单位： Biomedical Engineering Laboratory, School of Electrical and Computer Engineering , National Technical University of Athens , Athens 15773 , Greece. ^[1] Department of Cytopathology , 'Attikon' University Hospital, National and Kapodistrian University of Athens , Athens 12462 , Greece. ^[2] Institute of Communication and Computer Systems , Athens 10682 , Greece. ^[3]

关键词 Bayes methods Bayesian classification DNA HPV DNA testing Papanicolaou test cancer cervical cancer characteristic curve clinical decision support system colposcopy room decision support systems genetic algorithms high-grade cervical intraepithelial neoplasia human papillomavirus infection medical computing microorganisms personalised management

DOI 10.1049/htl.2015.0051

PMID 27382484

发布时间 2020-10-01

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Healthcare technology letters

2016年3卷2期

143-9页

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Healthcare technology letters

2016年3卷2期

143-9页

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Development of a clinical decision support system using genetic algorithms and Bayesian classification for improving the personalised management of women attending a colposcopy room.

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Development of a clinical decision support system using genetic algorithms and Bayesian classification for improving the personalised management of women attending a colposcopy room.

Healthcare technology letters

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