{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T04:45:59Z","timestamp":1746679559167,"version":"3.33.0"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540661627"},{"type":"electronic","value":"9783540487203"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1999]]},"DOI":"10.1007\/3-540-48720-4_37","type":"book-chapter","created":{"date-parts":[[2007,8,27]],"date-time":"2007-08-27T05:13:05Z","timestamp":1188191585000},"page":"346-355","source":"Crossref","is-referenced-by-count":8,"title":["Machine Learning for Survival Analysis: A Case Study on Recurrence of Prostate Cancer"],"prefix":"10.1007","author":[{"given":"Bla\u017e","family":"Zupan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janez","family":"Dem\u0161ar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael W.","family":"Kattan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Robert","family":"Beck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"Bratko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[1999,6,11]]},"reference":[{"key":"37_CR1","doi-asserted-by":"crossref","unstructured":"R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD Conference on Management of Data, pages 207\u2013216, Washington, D. C., 1993.","DOI":"10.1145\/170035.170072"},{"key":"37_CR2","doi-asserted-by":"crossref","unstructured":"E. Biganzoli, P. Boracchi, and L. Mariani, et al. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach. Statis Med, 1998.","DOI":"10.1002\/(SICI)1097-0258(19980530)17:10<1169::AID-SIM796>3.3.CO;2-4"},{"key":"37_CR3","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","volume":"34","author":"D. R. Cox","year":"1972","unstructured":"D. R. Cox. Regression models and life-tables. J R Statist Soc B, 34:187\u2013220, 1972.","journal-title":"J R Statist Soc B"},{"issue":"18","key":"37_CR4","doi-asserted-by":"publisher","first-page":"2543","DOI":"10.1001\/jama.247.18.2543","volume":"247","author":"F. E. Harrell","year":"1982","unstructured":"F. E. Harrell, R. M. Califf, D. B. Pryor, K. L. Lee, and R. A. Rosati. Evaluating the yield of medical tests. Journal of American Medical Association, 247(18):2543\u20132546, 1982.","journal-title":"Journal of American Medical Association"},{"key":"37_CR5","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/978-1-4615-6059-3_17","volume-title":"Intelligent data analysis in medicine and pharmacology","author":"M. W. Kattan","year":"1997","unstructured":"M. W. Kattan, H. Ishida, P. T. Scardino, and J. R. Beck. Applying a neural network to prostate cancer survival data. In N. Lavra\u010d, E. Keravnou, and B. Zupan, editors, Intelligent data analysis in medicine and pharmacology, pages 295\u2013306. Kluwer, Boston, 1997."},{"key":"37_CR6","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1055\/s-0038-1636613","volume":"17","author":"J. Lubsen","year":"1978","unstructured":"J. Lubsen, J. Pool, and E. van der Does. A practical device for the application of a diagnostic or prognostic function. Methods of Information in Medicine, 17:127\u2013129, 1978.","journal-title":"Methods of Information in Medicine"},{"key":"37_CR7","unstructured":"D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine learning, neural and statistical classification. Ellis Horwood, 1994."},{"key":"37_CR8","unstructured":"T. Niblett and I. Bratko. Learning decision rules in noisy domains. In Expert Systems 86, pages 15\u201318. Cambridge University Press, 1986. (Proc. EWSL 1986, Brighton)."},{"key":"37_CR9","doi-asserted-by":"crossref","unstructured":"M. Ohori, T. M. Wheeler, and P. T. Scardino. The new american joint committee on cancer and international union against cancer tnm classification of prostate cancer: Clinicopathologic correlations. Cancer, 74:104\u2013114, 94.","DOI":"10.1002\/1097-0142(19940701)74:1<104::AID-CNCR2820740119>3.0.CO;2-5"},{"issue":"1","key":"37_CR10","first-page":"81","volume":"1","author":"R. Quinlan","year":"1986","unstructured":"R. Quinlan. Induction of decision trees. Machine Learning, 1(1):81\u2013106, 1986.","journal-title":"Machine Learning"},{"key":"37_CR11","unstructured":"B. D. Ripley and R. M. Ripley. Neural networks as statistical methods in survival analysis. In R. Dybowski and V. Gant, editors, Artificial Neural Networks: Prospects for Medicine. Landes Biosciences Publishers, 1998."},{"issue":"1","key":"37_CR12","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1093\/biomet\/77.1.147","volume":"77","author":"T. M. Therneau","year":"1990","unstructured":"T. M. Therneau, P. M. Grambsch, and T. R. Fleming. Martingale-based residuals for survival models. Biometrika, 77(1):147\u2013160, 1990.","journal-title":"Biometrika"},{"key":"37_CR13","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2719-7","volume-title":"Modern applied statistics with S-PLUS","author":"W. N. Venables","year":"1997","unstructured":"W. N. Venables and B. D. Ripley. Modern applied statistics with S-PLUS. Springer, New York, second edition edition, 1997.","edition":"second edition"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-48720-4_37","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T17:22:56Z","timestamp":1737393776000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-48720-4_37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999]]},"ISBN":["9783540661627","9783540487203"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/3-540-48720-4_37","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[1999]]}}}