Naive Bayesian-based nomogram for prediction of prostate cancer recurrence Conference Paper


Authors: Demšar, J.; Zupan, B.; Kattan, M. W.; Beck, J. R.; Bratko, I.
Title: Naive Bayesian-based nomogram for prediction of prostate cancer recurrence
Conference Title: 15th Conference on Medical Informatics Europe (MIE 1999)
Abstract: This paper introduces a schema with naive-Bayesian classifier and patient weighting technique to develop a prostate cancer recurrence prediction model from patient data. We propose the graphical presentation of naive-Bayesian classifier with a nomogram, which can be used both for prediction or can provide means to data analysis. The resulting model was experimentally evaluated; the results were favorable both in terms of interpretability and predictive accuracy.
Keywords: survival; survival analysis; comparative study; cancer staging; neoplasm staging; neoplasm recurrence, local; bayes theorem; proportional hazards models; pathology; prostatic neoplasms; proportional hazards model; probability; tumor recurrence; prostate tumor; prediction and forecasting; predictive value of tests; computer simulation; mathematical computing; humans; human; male; article
Journal Title Studies in Health Technology and Informatics
Volume: 68
Conference Dates: 1999 Aug 22-26
Conference Location: Ljubljana, Slovenia
ISBN: 0926-9630
Publisher: IOS Press  
Location: Amsterdam, Netherlands
Date Published: 1999-01-01
Start Page: 436
End Page: 441
Language: English
DOI: 10.3233/978-1-60750-912-7-436
PROVIDER: scopus
PUBMED: 10724923
DOI/URL:
Notes: Conference Paper -- Export Date: 16 August 2016 -- 2000131490 -- 22 August 1999 through 26 August 1999 -- Source: Scopus
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