Editorial Comment on: Development, Validation, and Head-to-Head Comparison of Logistic Regression-Based Nomograms and Artificial Neural Network Models Predicting Prostate Cancer on Initial Extended Biopsy

European Urology

Volumn 54, Issue 3, 2008, Pages 611-

  Kattan, Michael W ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; DIAGNOSTIC ACCURACY; INTERMETHOD COMPARISON; JAPAN; LOGISTIC REGRESSION ANALYSIS; NOMOGRAM; NOTE; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER; TUMOR BIOPSY; VALIDATION STUDY; VALIDITY;

AGE FACTORS; AGED; BIOPSY; DIGITAL RECTAL EXAMINATION; HUMANS; JAPAN; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NOMOGRAMS; PREDICTIVE VALUE OF TESTS; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 47949129009     PISSN: 03022838     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eururo.2008.01.018     Document Type: Note

References (5)

1. Kattan M.W. Comparison of Cox regression with other methods for determining prediction models and nomograms. J Urol 170 suppl (2003) S6-S10
2. Schwarzer G., and Schumacher M. Artificial neural networks for diagnosis and prognosis in prostate cancer. Semin Urol Oncol 20 (2002) 89-95
3. Kattan M.W. Statistical prediction models, artificial neural networks, and the sophism "I am a patient, not a statistic". J Clin Oncol 20 (2002) 885-887
4. Kawakami S., Numao N., Okubo Y., et al. Development, validation, and head-to-head comparison of logistic regression-based nomograms and artificial neural network models predicting prostate cancer on initial extended biopsy. Eur Urol 54 (2008) 601-611
5. Nam R., Toi A., Klotz L., et al. Assessing individual risk for prostate cancer. J Clin Oncol 25 (2007) 3582-3588