{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:35:50Z","timestamp":1740202550756,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1999]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/978-1-60750-912-7-436","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:48:36Z","timestamp":1740156516000},"source":"Crossref","is-referenced-by-count":0,"title":["Naive Bayesian-Based Nomogram for Prediction of Prostate Cancer Recurrence"],"prefix":"10.3233","author":[{"family":"Dem&scaron;ar Janez","sequence":"additional","affiliation":[]},{"family":"Zupan Bla&zcaron;","sequence":"additional","affiliation":[]},{"family":"Kattan Michael W.","sequence":"additional","affiliation":[]},{"family":"Beck J. Robert","sequence":"additional","affiliation":[]},{"family":"Bratko Ivan","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Medical Informatics Europe &amp;apos;99"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:55:04Z","timestamp":1740156904000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=68&spage=436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-912-7-436","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[1999]]}}}