Pre-Operative Prediction of Advanced Prostatic Cancer Using Clinical Decision Support Systems: Accuracy Comparison between Support Vector Machine and Artificial Neural Network

OBJECTIVE: The purpose of the current study was to develop support vector machine (SVM) and artificial neural network (ANN) models for the pre-operative prediction of advanced prostate cancer by using the parameters acquired from transrectal ultrasound (TRUS)-guided prostate biopsies, and to compare...

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Detalles Bibliográficos
Autores principales: Kim, Sang Youn, Moon, Sung Kyoung, Jung, Dae Chul, Hwang, Sung Il, Sung, Chang Kyu, Cho, Jeong Yeon, Kim, Seung Hyup, Lee, Jiwon, Lee, Hak Jong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168800/
https://www.ncbi.nlm.nih.gov/pubmed/21927560
http://dx.doi.org/10.3348/kjr.2011.12.5.588

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168800/
https://www.ncbi.nlm.nih.gov/pubmed/21927560
http://dx.doi.org/10.3348/kjr.2011.12.5.588

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