Avtor/Urednik		Demšar, Janez; Zupan, Blaž; Kattan, M W; Beck, J R; Bratko, Ivan
Naslov		Naive Bayesian-based nomogram for prediction of prostate cancer recurrence
Tip		članek
Vir		In: Kokol P, Zupan B, Stare J, et al, editors. Medical informatics Europe '99. Amsterdam: IOS press,
Leto izdaje		1999
Obseg		str. 436-41
Jezik		eng
Abstrakt		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 interpretabilitv and predictive accuracy.
Deskriptorji		PROSTATIC NEOPLASMS BAYES THEOREM RECURRENCE SURVIVAL ANALYSIS