Models of logistic regression analysis, support vector machine, and back-propagation neural network based on serum tumor markers in colorectal cancer diagnosis.

Zhang, B; Liang, X L; Gao, H Y; Ye, L S; Wang, Y G

Zhang, B; Liang, X L; Gao, H Y; Ye, L S; Wang, Y G.

Affiliation

Zhang B; Training Department, Third Military Medical University of Chinese PLA, Shapingba, Chongqing, China.
Liang XL; Medical Department, Military General Hospital of Beijing PLA, Dongcheng, Beijing, China.
Gao HY; Medical Department, Military General Hospital of Beijing PLA, Dongcheng, Beijing, China.
Ye LS; Medical Department, Military General Hospital of Beijing PLA, Dongcheng, Beijing, China.
Wang YG; Training Department, Third Military Medical University of Chinese PLA, Shapingba, Chongqing, China.

Genet Mol Res ; 15(2)2016 May 13.

Article in En | MEDLINE | ID: mdl-27323037

Subject(s)

Biomarkers, Tumor/blood; Colorectal Neoplasms/blood; Colorectal Neoplasms/diagnosis; Machine Learning; Adult; Aged; Algorithms; CA-125 Antigen/blood; Case-Control Studies; Female; Humans; Logistic Models; Male; Membrane Proteins/blood; Middle Aged; Neural Networks, Computer; Support Vector Machine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Biomarkers, Tumor / Machine Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Aspects: Determinantes_sociais_saude Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Genet Mol Res Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2016 Document type: Article Affiliation country: China Country of publication: Brazil

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