{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:09:17Z","timestamp":1725797357299},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319098906"},{"type":"electronic","value":"9783319098913"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-09891-3_13","type":"book-chapter","created":{"date-parts":[[2014,7,14]],"date-time":"2014-07-14T03:24:41Z","timestamp":1405308281000},"page":"132-141","source":"Crossref","is-referenced-by-count":7,"title":["Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records"],"prefix":"10.1007","author":[{"given":"Mark","family":"Hoogendoorn","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leon M. G.","family":"Moons","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mattijs E.","family":"Numans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert-Jan","family":"Sips","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"13_CR1","first-page":"123","volume":"26","author":"L.. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a026, 123\u2013140 (1996)","journal-title":"Machine Learning"},{"issue":"4","key":"13_CR2","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1016\/j.ejca.2009.12.014","volume":"46","author":"J. Ferlay","year":"2010","unstructured":"Ferlay, J., Parkin, D.M., Steliarova-Foucher, E.: Estimates of cancer incidence and mortality in Europe in 2008. European Journal of Cancer\u00a046(4), 765\u2013781 (2010)","journal-title":"European Journal of Cancer"},{"issue":"3","key":"13_CR3","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1007\/s10654-004-5689-2","volume":"20","author":"D.E. Grobbee","year":"2005","unstructured":"Grobbee, D.E., Hoes, A.W., Verheij, T.J., Schrijvers, A.J., van Ameijden, E.J., Numans, M.E.: The Utrecht Health Project: optimization of routine healthcare data for research. Eur. J. Epidemiol.\u00a020(3), 285\u2013287 (2005)","journal-title":"Eur. J. Epidemiol."},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","volume":"143","author":"J.A. Hanley","year":"1982","unstructured":"Hanley, J.A., McNeil, B.J.: The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology\u00a0143, 29\u201336 (1982)","journal-title":"Radiology"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Hippisley-Cox, J., Coupland, C.: Identifying patients with suspected colorectal cancer in primary care: derivation and validation of an algorithm. British Journal of GeneralPractice\u00a062(594), e29\u2013e37 (2012)","DOI":"10.3399\/bjgp12X616346"},{"issue":"2","key":"13_CR6","doi-asserted-by":"publisher","first-page":"119","DOI":"10.2307\/2986296","volume":"29","author":"G.V. Kass","year":"1980","unstructured":"Kass, G.V.: An Exploratory Technique for Investigating Large Quantities of Categorical Data. Applied Statistics\u00a029(2), 119\u2013127 (1980)","journal-title":"Applied Statistics"},{"issue":"3","key":"13_CR7","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1093\/fampra\/9.3.330","volume":"9","author":"H. Lamberts","year":"1992","unstructured":"Lamberts, H., Wood, M., Hofmans-Okkes, I.M.: International primary care classifications: the effect of fifteen years of evolution. Fam. Pract.\u00a09(3), 330\u2013339 (1992)","journal-title":"Fam. Pract."},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Laxman, S., Sastry, P.: A survey of temporal data mining. In: SADHANA, Academy Proceedings in Engineering Sciences, vol.\u00a031 (2006)","DOI":"10.1007\/BF02719780"},{"issue":"9","key":"13_CR9","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.1136\/gut.2010.225987","volume":"60","author":"T. Marshall","year":"2011","unstructured":"Marshall, T., Lancashire, R., Sharp, D., Peters, T.J., Cheng, K.K., Hamilton, W.: The diagnostic performance of scoring systems to identify symptomatic colorectal cancer compared to current referral guidance. Gut.\u00a060(9), 1242\u20131248 (2011)","journal-title":"Gut."},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Patnaik, D., Butler, P., Ramakrishnan, N., Parida, L., Keller, B.J., Hanauer, A.: Experiences with Mining Temporal Event Sequences from Electronic Medical Records. In: Proc. of ACM SIGKDD, pp. 360\u2013368 (2011)","DOI":"10.1145\/2020408.2020468"},{"issue":"1","key":"13_CR11","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.cll.2007.10.005","volume":"28","author":"A.R. Post","year":"2008","unstructured":"Post, A.R., Harrison, J.H.: Temporal data mining. Clinics in Laboratory Medicine\u00a028(1), 83\u2013100 (2008)","journal-title":"Clinics in Laboratory Medicine"},{"key":"13_CR12","unstructured":"Quinlan, R.: Data Mining Tools See5 and C5.0 (2003), \n                      \n                        http:\/\/www.rulequest.com"},{"issue":"6b","key":"13_CR13","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1079\/PHN2002394","volume":"5","author":"E. Riboli","year":"2002","unstructured":"Riboli, E., et al.: European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutrition\u00a05(6b), 1113\u20131124 (2002)","journal-title":"Public Health Nutrition"},{"key":"13_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1007\/3-540-45622-8_25","volume-title":"Abstraction, Reformulation, and Approximation","author":"J. Zhang","year":"2002","unstructured":"Zhang, J., Silvescu, A., Honavar, V.G.: Ontology-driven induction of decision trees at multiple levels of abstraction. In: Koenig, S., Holte, R. (eds.) SARA 2002. LNCS (LNAI), vol.\u00a02371, p. 316. Springer, Heidelberg (2002)"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics and Health"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-09891-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,27]],"date-time":"2019-05-27T09:19:45Z","timestamp":1558948785000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-09891-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319098906","9783319098913"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-09891-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}