{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:21:33Z","timestamp":1774880493781,"version":"3.50.1"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1-3","license":[{"start":{"date-parts":[[2003,4,1]],"date-time":"2003-04-01T00:00:00Z","timestamp":1049155200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2003,4,1]],"date-time":"2003-04-01T00:00:00Z","timestamp":1049155200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Optimization and Applications"],"published-print":{"date-parts":[[2003,4]]},"DOI":"10.1023\/a:1022953004360","type":"journal-article","created":{"date-parts":[[2003,4,7]],"date-time":"2003-04-07T18:16:51Z","timestamp":1049739411000},"page":"151-166","source":"Crossref","is-referenced-by-count":25,"title":["Survival-Time Classification of Breast Cancer Patients"],"prefix":"10.1007","volume":"25","author":[{"given":"Y.-J.","family":"Lee","sequence":"first","affiliation":[]},{"given":"O.L.","family":"Mangasarian","sequence":"additional","affiliation":[]},{"given":"W.H.","family":"Wolberg","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"5118793_CR1","first-page":"82","volume-title":"Machine Learning Proceedings of the Fifteenth International Conference (ICML'98)","author":"P.S. Bradley","year":"1998","unstructured":"P.S. Bradley and O.L. Mangasarian, \u201cFeature selection via concave minimization and support vector machines,\u201d in Machine Learning Proceedings of the Fifteenth International Conference (ICML'98), J. Shavlik (Ed.), Morgan Kaufmann: San Francisco, CA, 1998, pp. 82-90. ftp:\/\/ftp.cs.wisc.edu\/mathprog\/ tech-reports\/98-03.ps."},{"key":"5118793_CR2","first-page":"368","volume-title":"Advances in Neural Information Processing Systems-9-","author":"P.S. Bradley","year":"1997","unstructured":"P.S. Bradley, O.L. Mangasarian, and W.N. Street, \u201cClustering via concave minimization,\u201d in Advances in Neural Information Processing Systems-9-, M.C. Mozer, M.I. Jordan, and T. Petsche (Eds.), MIT Press: Cambridge, MA, 1997, pp. 368-374. ftp:\/\/ftp.cs.wisc.edu\/math-prog\/tech-reports\/96-03.ps."},{"issue":"1","key":"5118793_CR3","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/BF01592244","volume":"71","author":"C. Chen","year":"1995","unstructured":"C. Chen and O.L. Mangasarian, \u201cSmoothing methods for convex inequalities and linear complementarity problems,\u201d Mathematical Programming, vol. 71, no. 1, pp. 51-69, 1995.","journal-title":"Mathematical Programming"},{"issue":"2","key":"5118793_CR4","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/BF00249052","volume":"5","author":"C. Chen","year":"1996","unstructured":"C. Chen and O.L. Mangasarian, \u201cA class of smoothing functions for nonlinear and mixed complementarity problems,\u201d Computational Optimization and Applications, vol. 5, no. 2, pp. 97-138, 1996.","journal-title":"Computational Optimization and Applications"},{"key":"5118793_CR5","volume-title":"Learning from Data-Concepts, Theory and Methods","author":"V. Cherkassky","year":"1998","unstructured":"V. Cherkassky and F. Mulier, Learning from Data-Concepts, Theory and Methods. John Wiley & Sons: New York, 1998."},{"key":"5118793_CR6","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1080\/01621459.1958.10501452","volume":"53","author":"E.L. Kaplan","year":"1958","unstructured":"E.L. Kaplan and P. Meier, \u201cNonparametric estimation from incomplete observations,\u201d Journal of the American Statistical Association, vol. 53, pp. 457-481, 1958.","journal-title":"Journal of the American Statistical Association"},{"key":"5118793_CR7","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2555-1","volume-title":"Survival Analysis","author":"D.G. Kleinbaum","year":"1996","unstructured":"D.G. Kleinbaum, Survival Analysis, Springer-Verlag: New York, 1996."},{"key":"5118793_CR8","series-title":"Technical Report","first-page":"1","volume-title":"DIMACS Series in Discrete Mathematics and Theoretical Computer Science, American Mathematical Society","author":"Y.-J. Lee","year":"2000","unstructured":"Y.-J. Lee, O.L. Mangasarian, and W.H. Wolberg, \u201cBreast cancer survival and chemotherapy: A support vector machine analysis,\u201d Technical Report 99-10, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, December 1999. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, American Mathematical Society, Volume 55, 2000, 1-10. ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/tech-reports\/99-10.ps."},{"key":"5118793_CR9","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1011215321374","volume":"20","author":"Y.-J. Lee","year":"2001","unstructured":"Y.-J. Lee and O.L. Mangasarian, \u201cSSVM: A smooth support vector machine,\u201d Computational Optimization and Applications, vol. 20, pp, 5-22, 2001. Data Mining Institute, University of Wisconsin, Technical Report 99-03. ftp:\/\/ftp.cs.wisc.edu\/pub\/dmi\/tech-reports\/99-03.ps.","journal-title":"Computational Optimization and Applications"},{"issue":"4","key":"5118793_CR10","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1287\/ijoc.5.4.349","volume":"5","author":"O.L. Mangasarian","year":"1993","unstructured":"O.L. Mangasarian, \u201cMathematical programming in neural networks,\u201d ORSA Journal on Computing, vol. 5, no. 4, pp. 349-360, 1993.","journal-title":"ORSA Journal on Computing"},{"key":"5118793_CR11","doi-asserted-by":"crossref","first-page":"135","DOI":"10.7551\/mitpress\/1113.003.0012","volume-title":"Advances in Large Margin Classifiers","author":"O.L. Mangasarian","year":"2000","unstructured":"O.L. Mangasarian, \u201cGeneralized support vector machines,\u201d in Advances in Large Margin Classifiers, A. Smola, P. Bartlett, B. Sch\u00f6lkopf, and D. Schuurmans (Eds.), MIT Press: Cambridge, MA, 2000, pp. 135-146. ftp:\/\/ftp.cs.wisc.edu\/math-prog\/tech-reports\/98-14.ps."},{"key":"5118793_CR12","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/72.788643","volume":"10","author":"O.L. Mangasarian","year":"1999","unstructured":"O.L. Mangasarian and D.R. Musicant, \u201cSuccessive overrelaxation for support vector machines,\u201d IEEE Transactions on Neural Networks, vol. 10, pp. 1032-1037, 1999. ftp:\/\/ftp.cs.wisc.edu\/math-prog\/tech-reports\/98-18.ps.","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"4","key":"5118793_CR13","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1287\/opre.43.4.570","volume":"43","author":"O.L. Mangasarian","year":"1995","unstructured":"O.L. Mangasarian, W.N. Street, and W.H. Wolberg, \u201cBreast cancer diagnosis and prognosis via linear programming,\u201d Operations Research, vol. 43, no. 4, pp. 570-577, 1995.","journal-title":"Operations Research"},{"key":"5118793_CR14","unstructured":"MATLAB, User's Guide. The MathWorks, Inc., Natick,MA01760, 1994-2001. http:\/\/www.mathworks.com."},{"key":"5118793_CR15","first-page":"547","volume":"12","author":"J.C. Platt","year":"2000","unstructured":"J.C. Platt, N. Cristianini, and J. Shawe-Taylor, \u201cLarge margin dags for multiclass classification,\u201d Advances in Neural Information Processing Systems (NIPS2000), vol. 12, pp. 547-553, 2000.","journal-title":"Advances in Neural Information Processing Systems (NIPS2000)"},{"key":"5118793_CR16","first-page":"522","volume-title":"Machine Learning: Proceedings of the Twelfth International Conference","author":"W.N. Street","year":"1995","unstructured":"W.N. Street, O.L. Mangasarian, and W.H. Wolberg, \u201cAn inductive learning approach to prognostic prediction,\u201d in Machine Learning: Proceedings of the Twelfth International Conference, A. Prieditis and S. Russell (Eds.), Morgan Kaufmann: San Francisco, 1995, pp. 522-530."},{"key":"5118793_CR17","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1117\/12.148698","volume":"1905","author":"W.N. Street","year":"1993","unstructured":"W.N. Street, W.H. Wolberg, and O.L. Mangasarian, \u201cNuclear feature extraction for breast tumor diagnosis,\u201d in Biomedical Image Processing and Biomedical Visualization, vol. 1905, pp. 861-870, San Jose, CA, 1993. SPIE\u2014The International Society for Optical Engineering.","journal-title":"Biomedical Image Processing and Biomedical Visualization"},{"key":"5118793_CR18","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The Nature of Statistical Learning Theory","author":"V.N. Vapnik","year":"2000","unstructured":"V.N. Vapnik, The Nature of Statistical Learning Theory, 2nd edn. Springer: New York, 2000.","edition":"2nd edn."},{"key":"5118793_CR19","volume-title":"WPBCC:Wisconsin Prognostic Breast Cancer Chemotherapy Database","author":"W.H. Wolberg","year":"1999","unstructured":"W.H. Wolberg, Y.-J. Lee, and O.L. Mangasarian, \u201cWPBCC:Wisconsin Prognostic Breast Cancer Chemotherapy Database,\u201d Computer Sciences Department, University ofWisconsin, Madison, ftp:\/\/ftp.cs.wisc.edu\/mathprog\/ cpo-dataset\/machine-learn\/cancer\/WPBCC\/, 1999."},{"issue":"6","key":"5118793_CR20","first-page":"396","volume":"15","author":"W.H. Wolberg","year":"1993","unstructured":"W.H. Wolberg, W.N. Street, and O.L. Mangasarian, \u201cBreast cytology diagnosis via digital image analysis,\u201d Analytical and Quantitative Cytology and Histology, vol. 15, no. 6, pp. 396-404, 1993.","journal-title":"Analytical and Quantitative Cytology and Histology"},{"key":"5118793_CR21","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/0304-3835(94)90099-X","volume":"77","author":"W.H. Wolberg","year":"1994","unstructured":"W.H. Wolberg, W.N. Street, and O.L. Mangasarian, \u201cMachine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates,\u201d Cancer Letters, vol. 77, pp. 163-171, 1994.","journal-title":"Cancer Letters"}],"container-title":["Computational Optimization and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1022953004360.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1022953004360\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1022953004360.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,13]],"date-time":"2025-07-13T03:34:16Z","timestamp":1752377656000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1022953004360"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,4]]},"references-count":21,"journal-issue":{"issue":"1-3","published-print":{"date-parts":[[2003,4]]}},"alternative-id":["5118793"],"URL":"https:\/\/doi.org\/10.1023\/a:1022953004360","relation":{},"ISSN":["0926-6003","1573-2894"],"issn-type":[{"value":"0926-6003","type":"print"},{"value":"1573-2894","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,4]]}}}