Nutzung von artifiziellen neuronalen Netzwerken zur Risikoabschätzung eines Prostatakarzinoms

This publication has 18 references indexed in Scilit:

• An artificial neural network considerably improves the diagnostic power of percent free prostate‐specific antigen in prostate cancer diagnosis: Results of a 5‐year investigation
  International Journal of Cancer, 2002
• Novel Artificial Neural Network for Early Detection of Prostate Cancer
  Journal of Clinical Oncology, 2002
• Prostate-specific antigen, its molecular forms, and other kallikrein markers for detection of prostate cancer
  Urology, 2002
• Molecular forms of prostate-specific antigen in serum with concentrations of total prostate-specific antigen <4 ?g/L: Are they useful tools for early detection and screening of prostate cancer?
  International Journal of Cancer, 2001
• Percent free prostate-specific antigen for first-time prostate biopsy
  Urology, 2001
• Performance of a neural network in detecting prostate cancer in the prostate-specific antigen reflex range of 2.5 to 4.0 ng/mL
  Urology, 2000
• Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network
  Urology, 2000
• Clinical implications of free-to-total immunoreactive prostate-specific antigen ratios
  Scandinavian Journal of Urology and Nephrology, 2000
• Use of percentage of free prostate-specific antigen to identify men at high risk of prostate cancer when psa levels are 2.51 to 4 ng/mL and digital rectal examination is not suspicious for prostate cancer: an alternative model
  Urology, 1999
• Use of the Percentage of Free Prostate-Specific Antigen to Enhance Differentiation of Prostate Cancer From Benign Prostatic Disease
  JAMA, 1998