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Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence., , , , and . MIE, volume 68 of Studies in Health Technology and Informatics, page 436-441. IOS Press, (1999)Assessing the performance of prediction models: a framework for traditional and novel measures., , , , , , , and . Epidemiology (Cambridge, Mass.), 21 (1): 128-38 (January 2010)5495<br/>JID: 9009644; ppublish;<br/>Models predictius.Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer., , , , and . AIMDM, volume 1620 of Lecture Notes in Computer Science, page 346-355. Springer, (1999)A comprehensive data level analysis for cancer diagnosis on imbalanced data., , and . J. Biomed. Informatics, (2019)An empirical re-examination of the relationship among training, ability, and the acceptance of information technology., , and . SIGCPR, page 177-186. ACM, (1991)A Hybrid Approach to Survival Model Building Using Integration of Clinical and Molecular Information in Censored Data., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 9 (4): 1091-1105 (2012)Machine learning for survival analysis: a case study on recurrence of prostate cancer., , , , and . Artif. Intell. Medicine, 20 (1): 59-75 (2000)Nomograms for Visualization of Naive Bayesian Classifier., , , and . PKDD, volume 3202 of Lecture Notes in Computer Science, page 337-348. Springer, (2004)Time trade-off utility modified to accommodate degenerative and life-threatening conditions., , and . AMIA, AMIA, (2001)A simulation model of colorectal cancer surveillance and recurrence., , , , , , , and . BMC Medical Informatics Decis. Mak., (2014)