Journal article

Predicting prostate biopsy outcome: artificial neural networks and polychotomous regression are equivalent models

Nathan Lawrentschuk, Gina Lockwood, Peter Davies, Andy Evans, Joan Sweet, Ants Toi, Neil E Fleshner

Urology | SPRINGER | Published : 2011

DOI: 10.1007/s11255-010-9750-7

University of Melbourne Researchers

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Keywords

Incidence
Aged
Treatment Outcome
Radical Prostatectomy
Age Distribution
Endosonography
Antigen
Life Sciences & Biomedicine
Adult
Logistic Models
Biopsy
Statistics
Age Factors
Validation
Predictive Value of Tests
Urology & Nephrology
Neural Networks, Computer
Aged, 80 and Over
Prostate
Science & Technology
Patient
Prostate Cancer
Diagnosis
Follow-Up Studies
Neoplasm Staging
Prostatic Neoplasms
Middle Aged
Preoperative Nomogram
Neural Network
Intraepithelial Neoplasia
Ontario
Humans
Cancer
Mortality
Digital Rectal Examination
Male
Risk Assessment
Retrospective Studies