{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T04:27:58Z","timestamp":1790483278563,"version":"4.1.0"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2012,3,22]],"date-time":"2012-03-22T00:00:00Z","timestamp":1332374400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pediatr Res"],"published-print":{"date-parts":[[2012,6]]},"DOI":"10.1038\/pr.2012.34","type":"journal-article","created":{"date-parts":[[2012,3,23]],"date-time":"2012-03-23T12:06:50Z","timestamp":1332504410000},"page":"725-731","source":"Crossref","is-referenced-by-count":30,"title":["Supporting diagnostic decisions using hybrid and complementary data mining applications: a pilot study in the pediatric emergency department"],"prefix":"10.1038","volume":"71","author":[{"given":"Lorenz","family":"Grigull","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Werner M.","family":"Lechner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2012,3,22]]},"reference":[{"key":"BFpr201234_CR1","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1197\/j.aem.2004.08.052","volume":"12","author":"TE Burroughs","year":"2005","unstructured":"Burroughs TE, Waterman AD, Gallagher TH, et al. Patient concerns about medical errors in emergency departments. Acad Emerg Med 2005;12:57\u201364.","journal-title":"Acad Emerg Med"},{"key":"BFpr201234_CR2","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1097\/00006565-200508000-00044","volume":"21","author":"SM Selbst","year":"2005","unstructured":"Selbst SM, Friedman MJ, Singh SB . Epidemiology and etiology of malpractice lawsuits involving children in US emergency departments and urgent care centers. Pediatr Emerg Care 2005;21:165\u20139.","journal-title":"Pediatr Emerg Care"},{"key":"BFpr201234_CR3","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1053\/euhj.1998.1198","volume":"20","author":"T Budde","year":"1999","unstructured":"Budde T, Haude M, H\u00f6pp HW, et al. A prognostic computer model to individually predict post-procedural complications in interventional cardiology: the INTERVENT Project. Eur Heart J 1999;20:354\u201363.","journal-title":"Eur Heart J"},{"key":"BFpr201234_CR4","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1136\/emj.2006.044107","volume":"24","author":"P Ramnarayan","year":"2007","unstructured":"Ramnarayan P, Cronje N, Brown R, et al. Validation of a diagnostic reminder system in emergency medicine: a multi-centre study. Emerg Med J 2007;24:619\u201324.","journal-title":"Emerg Med J"},{"key":"BFpr201234_CR5","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1016\/S0140-6736(96)90609-1","volume":"347","author":"R Dybowski","year":"1996","unstructured":"Dybowski R, Weller P, Chang R, Gant V . Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm. Lancet 1996;347:1146\u201350.","journal-title":"Lancet"},{"key":"BFpr201234_CR6","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1203\/01.pdr.0000252438.65759.af","volume":"61","author":"MP Griffin","year":"2007","unstructured":"Griffin MP, Lake DE, O\u2019Shea TM, Moorman JR . Heart rate characteristics and clinical signs in neonatal sepsis. Pediatr Res 2007;61:222\u20137.","journal-title":"Pediatr Res"},{"key":"BFpr201234_CR7","first-page":"1140","volume":"55","author":"CW Chien","year":"2008","unstructured":"Chien CW, Lee YC, Ma T, et al. The application of artificial neural networks and decision tree model in predicting post-operative complication for gastric cancer patients. Hepatogastroenterology 2008;55:1140\u20135.","journal-title":"Hepatogastroenterology"},{"key":"BFpr201234_CR8","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1203\/01.PDR.0000129658.55746.3C","volume":"56","author":"M Mueller","year":"2004","unstructured":"Mueller M, Wagner CL, Annibale DJ, Hulsey TC, Knapp RG, Almeida JS . Predicting extubation outcome in preterm newborns: a comparison of neural networks with clinical expertise and statistical modeling. Pediatr Res 2004;56:11\u20138.","journal-title":"Pediatr Res"},{"key":"BFpr201234_CR9","doi-asserted-by":"crossref","unstructured":"Vapnik V. The Nature of Statistical Learning Theory. New York: Springer, 1995.","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"BFpr201234_CR10","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/0010-0277(82)90036-1","volume":"12","author":"LA Zadeh","year":"1982","unstructured":"Zadeh LA . A note on prototype theory and fuzzy sets. Cognition 1982;12:291\u20137.","journal-title":"Cognition"},{"key":"BFpr201234_CR11","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1007\/978-3-540-88458-3_82","volume":"5259","author":"A Hafiane","year":"2008","unstructured":"Hafiane A, Bunyak F, Palaniappan K . Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection. Lect Notes Comput Sci 2008;5259:903\u201314.","journal-title":"Lect Notes Comput Sci"},{"key":"BFpr201234_CR12","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1093\/bja\/77.5.636","volume":"77","author":"J Sch\u00e4ublin","year":"1996","unstructured":"Sch\u00e4ublin J, Derighetti M, Feigenwinter P, Petersen-Felix S, Zbinden AM . Fuzzy logic control of mechanical ventilation during anaesthesia. Br J Anaesth 1996;77:636\u201341.","journal-title":"Br J Anaesth"},{"issue":"Pt 11","key":"BFpr201234_CR13","doi-asserted-by":"publisher","first-page":"2969","DOI":"10.1093\/brain\/awn239","volume":"131","author":"S Kl\u00f6ppel","year":"2008","unstructured":"Kl\u00f6ppel S, Stonnington CM, Barnes J, et al. Accuracy of dementia diagnosis: a direct comparison between radiologists and a computerized method. Brain 2008;131(Pt 11):2969\u201374.","journal-title":"Brain"},{"key":"BFpr201234_CR14","doi-asserted-by":"publisher","first-page":"e428","DOI":"10.1542\/peds.2004-1824","volume":"115","author":"MS Anderson","year":"2005","unstructured":"Anderson MS, Todd JK, Glod\u00e9 MP . Delayed diagnosis of Kawasaki syndrome: an analysis of the problem. Pediatrics 2005;115:e428\u201333.","journal-title":"Pediatrics"},{"issue":"Suppl 1","key":"BFpr201234_CR15","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s11606-007-0271-8","volume":"23","author":"ML Graber","year":"2008","unstructured":"Graber ML, Mathew A . Performance of a web-based clinical diagnosis support system for internists. J Gen Intern Med 2008;23:Suppl 1:37\u201340.","journal-title":"J Gen Intern Med"},{"key":"BFpr201234_CR16","first-page":"28","volume":"25","author":"J Britto","year":"2004","unstructured":"Britto J . ISABEL at the helm. A web-based diagnosis system speeds clinical decisions for pediatric physicians. Health Manag Technol 2004;25: 28\u20139.","journal-title":"Health Manag Technol"},{"key":"BFpr201234_CR17","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.dld.2007.01.003","volume":"39","author":"PL Liew","year":"2007","unstructured":"Liew PL, Lee YC, Lin YC, et al. Comparison of artificial neural networks with logistic regression in prediction of gallbladder disease among obese patients. Dig Liver Dis 2007;39:356\u201362.","journal-title":"Dig Liver Dis"},{"key":"BFpr201234_CR18","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/TITB.2007.907985","volume":"12","author":"MG Tsipouras","year":"2008","unstructured":"Tsipouras MG, Exarchos TP, Fotiadis DI, et al. Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling. IEEE Trans Inf Technol Biomed 2008;12:447\u201358.","journal-title":"IEEE Trans Inf Technol Biomed"}],"container-title":["Pediatric Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.nature.com\/articles\/pr201234.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/pr201234","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/pr201234.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T04:56:57Z","timestamp":1684472217000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/pr201234"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,3,22]]},"references-count":18,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2012,6]]}},"alternative-id":["BFpr201234"],"URL":"https:\/\/doi.org\/10.1038\/pr.2012.34","relation":{},"ISSN":["0031-3998","1530-0447"],"issn-type":[{"value":"0031-3998","type":"print"},{"value":"1530-0447","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,3,22]]}}}