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Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.
Kahng, Jimin; Kim, Eung-Hee; Kim, Hong-Gee; Lee, Wonbae.
Affiliation
  • Kahng J; Department of Laboratory Medicine, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea.
  • Kim EH; Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Republic of Korea.
  • Kim HG; Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Republic of Korea.
  • Lee W; Department of Paediatrics, College of Medicine, Catholic University of Korea, Seoul, Republic of Korea leewb@catholic.ac.kr.
J Int Med Res ; 43(4): 518-25, 2015 Aug.
Article in En | MEDLINE | ID: mdl-26001392
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Disease Progression / Asian People / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Child / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Int Med Res Year: 2015 Document type: Article Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Disease Progression / Asian People / Support Vector Machine Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Child / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Int Med Res Year: 2015 Document type: Article Country of publication: United kingdom