Best serum biomarker combination for ovarian cancer classification.

Song, Hye-Jeong; Yang, Eun-Suk; Kim, Jong-Dae; Park, Chan-Young; Kyung, Min-Sun; Kim, Yu-Seop

Song, Hye-Jeong; Yang, Eun-Suk; Kim, Jong-Dae; Park, Chan-Young; Kyung, Min-Sun; Kim, Yu-Seop.

Afiliação

Song HJ; Bio-IT Research Center, Hallym University, Chuncheon, South Korea. hjsong@hallym.ac.kr.
Yang ES; Department of Convergence Software, Hallym University, Chuncheon, South Korea.
Kim JD; Bio-IT Research Center, Hallym University, Chuncheon, South Korea.
Park CY; Department of Convergence Software, Hallym University, Chuncheon, South Korea.
Kyung MS; Bio-IT Research Center, Hallym University, Chuncheon, South Korea.
Kim YS; Department of Convergence Software, Hallym University, Chuncheon, South Korea.

Biomed Eng Online ; 17(Suppl 2): 152, 2018 Nov 06.

Article em En | MEDLINE | ID: mdl-30396341

Assuntos

Biomarcadores Tumorais/sangue; Neoplasias Ovarianas/sangue; Neoplasias Ovarianas/diagnóstico; Estudos de Casos e Controles; Biologia Computacional; Feminino; Humanos; Aprendizado de Máquina; Programas de Rastreamento

Palavras-chave

CA-125; Classification; Logistic regression; Marker selection; Ovarian cancer

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Biomarcadores Tumorais Tipo de estudo: Observational_studies / Prognostic_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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