{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T14:32:16Z","timestamp":1759847536075,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031083365"},{"type":"electronic","value":"9783031083372"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-08337-2_15","type":"book-chapter","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T15:52:13Z","timestamp":1655394733000},"page":"170-181","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2434-3641","authenticated-orcid":false,"given":"Diana","family":"Shamsutdinova","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8565-6890","authenticated-orcid":false,"given":"Daniel","family":"Stamate","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4570-9801","authenticated-orcid":false,"given":"Angus","family":"Roberts","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7987-6619","authenticated-orcid":false,"given":"Daniel","family":"Stahl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"411","DOI":"10.2307\/2532300","volume":"48","author":"M LeBlanc","year":"1992","unstructured":"LeBlanc, M., Crowley, J.: Relative risk trees for censored survival data. Biometrics 48, 411\u2013425 (1992)","journal-title":"Biometrics"},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1214\/08-AOAS169","volume":"2","author":"H Ishwaran","year":"2008","unstructured":"Ishwaran, H., Kogalur, U.B., Blackstone, E.H., Lauer, M.S.: Random survival forests. Ann. Appl. Stat. 2, 841\u2013860 (2008)","journal-title":"Ann. Appl. Stat."},{"key":"15_CR3","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","volume":"34","author":"DR Cox","year":"1972","unstructured":"Cox, D.R.: Regression models and life-tables. J. Roy. Stat. Soc.: Ser. B (Methodol.) 34, 187\u2013202 (1972)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"key":"15_CR4","unstructured":"Amunategui, M.: Data Exploration & Machine Learning, Hands-on. https:\/\/amunategui.github.io\/survival-ensembles\/index.html"},{"key":"15_CR5","unstructured":"Marmerola, G.D.: Calibration of probabilities for tree-based models | Guilherme\u2019s Blog. https:\/\/gdmarmerola.github.io\/probability-calibration\/"},{"key":"15_CR6","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1038\/modpathol.3800322","volume":"18","author":"T Shi","year":"2005","unstructured":"Shi, T., Seligson, D., Belldegrun, A.S., Palotie, A., Horvath, S.: Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma. Mod. Pathol. 18, 547\u2013557 (2005)","journal-title":"Mod. Pathol."},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1093\/biostatistics\/kxi024","volume":"6","author":"X Su","year":"2005","unstructured":"Su, X., Tsai, C.-L.: Tree-augmented Cox proportional hazards models. Biostatistics 6, 486\u2013499 (2005)","journal-title":"Biostatistics"},{"key":"15_CR8","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1111\/j.2517-6161.1972.tb00900.x","volume":"34","author":"NE Breslow","year":"1972","unstructured":"Breslow, N.E.: Discussion of Professor Cox\u2019s paper. J. Roy. Stat. Soc. Ser. B (Methodol.) 34, 202\u2013220 (1972)","journal-title":"J. Roy. Stat. Soc. Ser. B (Methodol.)"},{"key":"15_CR9","doi-asserted-by":"publisher","DOI":"10.1002\/9781118032985","volume-title":"The Statistical Analysis of Failure time Data","author":"JD Kalbfleisch","year":"2002","unstructured":"Kalbfleisch, J.D., Prentice, R.L.: The Statistical Analysis of Failure time Data. Wiley, Hoboken (2002)"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"392","DOI":"10.4172\/2155-6180.1000392","volume":"9","author":"F Xia","year":"2018","unstructured":"Xia, F., Ning, J., Huang, X.: Empirical comparison of the Breslow estimator and the Kalbfleisch prentice estimator for survival functions. J. Biom. Biostat. 9, 392 (2018)","journal-title":"J. Biom. Biostat."},{"key":"15_CR11","volume-title":"Classification and Regression Trees","author":"L Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J.: Classification and Regression Trees. Wadsworth & Brooks\/Cole Advanced Books & Software, Monterey, CA (1984)"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1007\/s11336-014-9413-1","volume":"80","author":"Y Zhou","year":"2015","unstructured":"Zhou, Y., McArdle, J.J.: Rationale and applications of survival tree and survival ensemble methods. Psychometrika 80, 811\u2013833 (2015)","journal-title":"Psychometrika"},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"35","DOI":"10.2307\/2531894","volume":"44","author":"MR Segal","year":"1988","unstructured":"Segal, M.R.: Regression trees for censored data. Biometrics 44, 35 (1988)","journal-title":"Biometrics"},{"key":"15_CR14","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.jmva.2004.02.003","volume":"90","author":"AM Molinaro","year":"2004","unstructured":"Molinaro, A.M., Dudoit, S., van der Laan, M.J.: Tree-based multivariate regression and density estimation with right-censored data. J. Multivar. Anal. 90, 154\u2013177 (2004)","journal-title":"J. Multivar. Anal."},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1515\/ijb-2014-0029","volume":"11","author":"A Shimokawa","year":"2015","unstructured":"Shimokawa, A., Kawasaki, Y., Miyaoka, E.: Comparison of splitting methods on survival tree. Int. J. Biostat. 11, 175\u2013188 (2015)","journal-title":"Int. J. Biostat."},{"key":"15_CR16","unstructured":"Ishwaran, H., Lauer, M.S., Blackstone, E.H., Lu, M.: randomForestSRC: Random Survival Forests Vignette (2021)"},{"key":"15_CR17","unstructured":"Therneau, T., Atkinson, E.: An introduction to recursive partitioning using the RPART routines (2019)"},{"key":"15_CR18","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1214\/07-EJS039","volume":"1","author":"H Ishwaran","year":"2007","unstructured":"Ishwaran, H.: Variable importance in binary regression trees and forests. Electron. J. Stat. 1, 519\u2013537 (2007)","journal-title":"Electron. J. Stat."},{"key":"15_CR19","doi-asserted-by":"publisher","first-page":"429","DOI":"10.2307\/2986270","volume":"43","author":"P Royston","year":"1994","unstructured":"Royston, P., Altman, D.G.: Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling. Appl. Stat. 43, 429 (1994)","journal-title":"Appl. Stat."},{"key":"15_CR20","unstructured":"Heinze, G., Ambler, G., Benner, A.: Package \u2018mfp.\u2019 CRAN (2022)"},{"key":"15_CR21","doi-asserted-by":"publisher","first-page":"1640","DOI":"10.1093\/ije\/dys168","volume":"42","author":"A Steptoe","year":"2013","unstructured":"Steptoe, A., Breeze, E., Banks, J., Nazroo, J.: Cohort profile: the English longitudinal study of ageing. Int. J. Epidemiol. 42, 1640\u20131648 (2013)","journal-title":"Int. J. Epidemiol."},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1038\/s41398-018-0304-6","volume":"8","author":"S Hackinger","year":"2018","unstructured":"Hackinger, S., et al.: Evidence for genetic contribution to the increased risk of type 2 diabetes in schizophrenia. Transl. Psychiatry. 8, 252 (2018)","journal-title":"Transl. Psychiatry."},{"key":"15_CR23","doi-asserted-by":"publisher","first-page":"1068","DOI":"10.1111\/jcpp.12295","volume":"55","author":"NR Wray","year":"2014","unstructured":"Wray, N.R., Lee, S.H., Mehta, D., Vinkhuyzen, A.A.E., Dudbridge, F., Middeldorp, C.M.: Research review: polygenic methods and their application to psychiatric traits. J. Child Psychol. Psychiatry 55, 1068\u20131087 (2014)","journal-title":"J. Child Psychol. Psychiatry"},{"key":"15_CR24","series-title":"Lecture Notes in Statistics","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/978-1-4614-8981-8_11","volume-title":"Risk Assessment and Evaluation of Predictions","author":"P Blanche","year":"2013","unstructured":"Blanche, P., Latouche, A., Viallon, V.: Time-dependent AUC with right-censored data: a survey. In: Lee, M.-L., Gail, M., Pfeiffer, R., Satten, G., Cai, T., Gandy, A. (eds.) Risk Assessment and Evaluation of Predictions. LNS, vol. 210, pp. 239\u2013251. Springer, New York (2013). https:\/\/doi.org\/10.1007\/978-1-4614-8981-8_11"},{"key":"15_CR25","unstructured":"Dunn, J., Gibson, E., Orfanoudaki, A.: Optimal survival trees. arXiv preprint (2020)"},{"key":"15_CR26","doi-asserted-by":"publisher","first-page":"2529","DOI":"10.1002\/(SICI)1097-0258(19990915\/30)18:17\/18<2529::AID-SIM274>3.0.CO;2-5","volume":"18","author":"E Graf","year":"1999","unstructured":"Graf, E., Schmoor, C., Sauerbrei, W., Schumacher, M.: Assessment and comparison of prognostic classification schemes for survival data. Stat. Med. 18, 2529\u20132545 (1999)","journal-title":"Stat. Med."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08337-2_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T02:00:09Z","timestamp":1727402409000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08337-2_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031083365","9783031083372"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08337-2_15","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ifipaiai.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}