Impact of Surgical Staging in Evaluating the Radiotherapeutic Outcome in RTOG 77-06, a phase III Study for T1BN0M0 (A2) and T2N0M0 (B) Prostate Carcinoma, International Journal of Radiation Oncology*Biology*Physics, vol.40, issue.4, pp.769-782, 1998. ,
DOI : 10.1016/S0360-3016(97)00926-7
Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data, 2010. ,
DOI : 10.1007/978-1-84882-260-3
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
An empirical evaluation of supervised learning in high dimensions, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.96-103, 2008. ,
DOI : 10.1145/1390156.1390169
On over-fitting in model selection and subsequent selection bias in performance evaluation, Journal of Machine Learning Research, pp.2079-2107, 2010. ,
Biochemical Outcome After Radical Prostatectomy, External Beam Radiation Therapy, or Interstitial Radiation Therapy for Clinically Localized Prostate Cancer, JAMA, vol.280, issue.11, pp.969-974, 1998. ,
DOI : 10.1001/jama.280.11.969
Is random model better? On its accuracy and efficiency, Third IEEE International Conference on Data Mining, pp.51-58, 2003. ,
DOI : 10.1109/ICDM.2003.1250902
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.6210
Can Predictive Models for Prostate Cancer Patients Derived in the United States of America Be Utilized in European Patients? A Validation Study of the Partin Tables, European Urology, vol.43, issue.1, pp.6-11, 2003. ,
DOI : 10.1016/S0302-2838(02)00497-9
The WEKA data mining software, ACM SIGKDD Explorations Newsletter, vol.11, issue.1, pp.10-18, 2009. ,
DOI : 10.1145/1656274.1656278
Learning from imbalanced data, IEEE Transactions on Knowledge and Data Engineering, vol.21, issue.9, pp.1263-1284, 2009. ,
Global cancer statistics, CA: A Cancer Journal for Clinicians, vol.82, issue.19 suppl, pp.69-90, 2011. ,
DOI : 10.3322/caac.20107
Evaluation of a Nomogram used to predict the pathologic stage of clinically localized prostate carcinoma, Cancer, vol.79, issue.3, pp.528-537, 1997. ,
DOI : 10.1002/(SICI)1097-0142(19970201)79:3<528::AID-CNCR15>3.3.CO;2-D
An Update of the Phase III Trial Comparing Whole Pelvic to Prostate Only Radiotherapy and Neoadjuvant to Adjuvant Total Androgen Suppression: Updated Analysis of RTOG 94-13, With Emphasis on Unexpected Hormone/Radiation Interactions, International Journal of Radiation Oncology*Biology*Physics, vol.69, issue.3, pp.646-655, 2007. ,
DOI : 10.1016/j.ijrobp.2007.04.003
Combination of Prostate-Specific Antigen, Clinical Stage, and Gleason Score to Predict Pathological Stage of Localized Prostate Cancer, JAMA, vol.277, issue.18, pp.1445-1451, 1997. ,
DOI : 10.1001/jama.1997.03540420041027
Is There a Role for Pelvic Irradiation in Localized Prostate Adenocarcinoma? Preliminary Results of GETUG-01, Journal of Clinical Oncology, vol.25, issue.34, pp.25-5366, 2007. ,
DOI : 10.1200/JCO.2006.10.5171
URL : https://hal.archives-ouvertes.fr/hal-00434646
C4.5: programs for machine learning, 1993. ,
Prediction of locoregional extension and metastatic disease in prostate cancer: a review, World Journal of Urology, vol.18, issue.3, pp.165-172, 2000. ,
DOI : 10.1007/PL00007073
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers, Artificial Intelligence in Medicine, vol.55, issue.1, pp.25-35, 2012. ,
DOI : 10.1016/j.artmed.2011.11.003
Predicting the risk of lymph node involvement using the pre-treatment prostate specific antigen and gleason score in men with clinically localized prostate cancer, International Journal of Radiation Oncology*Biology*Physics, vol.28, issue.1, pp.33-37, 1994. ,
DOI : 10.1016/0360-3016(94)90138-4
Identication of a high-risk clinically localized prostate cancer subgroup receiving maximum benet from whole-pelvic irradiation, The Cancer Journal from Scientific American, vol.4, issue.6, pp.370-377, 1998. ,
Improved freedom from PSA failure with whole pelvic irradiation for high-risk prostate cancer, International Journal of Radiation Oncology*Biology*Physics, vol.42, issue.5, pp.1055-1062, 1998. ,
DOI : 10.1016/S0360-3016(98)00282-X