Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.
The prediction of cancer staging in prostate cancer is a process for estimating the likelihood that the cancer has spread before treatment is given to the patient. Although important for determining the most suitable treatment and optimal management strategy for patients, staging continues to presen...
Main Authors: | Georgina Cosma, Giovanni Acampora, David Brown, Robert C Rees, Masood Khan, A Graham Pockley |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4892614?pdf=render |
Similar Items
-
Prediction of biochemical failure in localized carcinoma of prostate after radical prostatectomy by neuro-fuzzy
by: Neeraj Kumar Goyal, et al.
Published: (2007-01-01) -
Identifying the Presence of Prostate Cancer in Individuals with PSA Levels <20 ng ml−1 Using Computational Data Extraction Analysis of High Dimensional Peripheral Blood Flow Cytometric Phenotyping Data
by: Georgina Cosma, et al.
Published: (2017-12-01) -
Neuro-fuzzy modeling in bankruptcy prediction
by: Vlachos D., et al.
Published: (2003-01-01) -
Application of Neuro-Fuzzy Modeling in Prediction
by: Chih-Feng Liu, et al.
Published: (2013) -
Prediction of conductivity by adaptive neuro-fuzzy model.
by: S Akbarzadeh, et al.
Published: (2014-01-01)