Classifying prostate cancer patients based on total prostate-specific antigen and free prostate-specific antigen features by support vector machine.

Journal: Journal of cancer research and therapeutics

Published Date: Jan 1, 2016

Abstract

AIMS OF STUDY: In this work, we enhanced the role of prostate-specific antigen (PSA) test by examining the relation between free PSA (fPSA) and total PSA (tPSA) value and other biological information such as age and volume of prostate. Our primary goal is to find an approach that improves the sensitivity but still give a reasonable specificity.

Authors

Nguyen Thi Hong Nhung

Department of Basic Science, Nursing and Medical Technology, Ho Chi Minh City University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam.
Vu Tran Minh Khuong

Faculty of Math and Computer Science, University of Science, Ho Chi Minh City, Vietnam.
Vu Quang Huy

Medical Laboratory Falculty, Nursing and Medical Technology, Ho Chi Minh City University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam.
Pham The Bao

Faculty of Mathematics and Computer Science, University of Science, 227 Nguyen Van Cu, District 5, Ho Chi Minh City, Vietnam.

Keywords

Adult Aged Aged, 80 and over Biomarkers, Tumor Biopsy Humans Male Middle Aged Prostate-Specific Antigen Prostatic Neoplasms Reproducibility of Results ROC Curve Sensitivity and Specificity Support Vector Machine Tumor Burden

External Resources

View on PubMed Access via DOI PubMed (27461657)

Classifying prostate cancer patients based on total prostate-specific antigen and free prostate-specific antigen features by support vector machine.

Abstract

Authors

Keywords

External Resources

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