{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:53:19Z","timestamp":1742964799404,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030118891"},{"type":"electronic","value":"9783030118907"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-11890-7_55","type":"book-chapter","created":{"date-parts":[[2019,1,28]],"date-time":"2019-01-28T10:39:57Z","timestamp":1548671997000},"page":"569-579","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting the Length of Hospital Stay After Surgery for Perforated Peptic Ulcer"],"prefix":"10.1007","author":[{"given":"Jos\u00e9","family":"Machado","sequence":"first","affiliation":[]},{"given":"Ana Catarina","family":"Cardoso","sequence":"additional","affiliation":[]},{"given":"In\u00eas","family":"Gomes","sequence":"additional","affiliation":[]},{"given":"In\u00eas","family":"Silva","sequence":"additional","affiliation":[]},{"given":"V\u00edtor","family":"Lopes","sequence":"additional","affiliation":[]},{"given":"Hugo","family":"Peixoto","sequence":"additional","affiliation":[]},{"given":"Ant\u00f3nio","family":"Abelha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,1,29]]},"reference":[{"key":"55_CR1","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1002\/pds.2153","volume":"20","author":"KJ Lin","year":"2011","unstructured":"Lin, K.J., Garc\u00eda Rodr\u00edguez, L.A., D\u00edaz, S.H.: Systematic review of peptic ulcer disease incidence rates: do studies without validation provide reliable estimates? Pharmacoepidemiol. Drug Saf. 20, 718\u2013728 (2011)","journal-title":"Pharmacoepidemiol. Drug Saf."},{"key":"55_CR2","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1097\/SLA.0b013e3181b975b8","volume":"251","author":"YR Wang","year":"2010","unstructured":"Wang, Y.R., Richter, J.E., Dempsey, D.T.: Trends and outcomes of hospitalizations for peptic ulcer disease in the United States, 1993 to 2006. Ann. Surg. 251, 51\u201358 (2010)","journal-title":"Ann. Surg."},{"key":"55_CR3","first-page":"242","volume":"24","author":"DO Irabor","year":"2005","unstructured":"Irabor, D.O.: An audit of peptic ulcer surgery in Ibadan. Nigeria. West Afr. J. Med. 24, 242\u2013245 (2005)","journal-title":"Nigeria. West Afr. J. Med."},{"key":"55_CR4","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1016\/S0929-6646(09)60385-5","volume":"108","author":"CH Li","year":"2009","unstructured":"Li, C.H., Bair, M.J., Chang, W.H., Shih, S.C., Lin, S.C., Yeh, C.Y.: Predictive model for length of hospital stay of patients surviving surgery for perforated peptic ulcer. J. Formos. Med. Assoc. 108, 644\u2013652 (2009)","journal-title":"J. Formos. Med. Assoc."},{"key":"55_CR5","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-319-22348-3_9","volume-title":"International Conference on Enterprise Information Systems","author":"N Caetano","year":"2015","unstructured":"Caetano, N., Cortez, P., Laureano, R.M.S.: Using data mining for prediction of hospital length of stay: an application of the CRISP-DM methodology. In: Cordeiro, J., Hammoudi, S., Maciaszek, L., Camp, O., Filipe, J. (eds.) International Conference on Enterprise Information Systems, pp. 149\u2013166. Springer, Cham (2015)"},{"key":"55_CR6","unstructured":"Pereira, J.J.R.: Modelos de data mining para multi-previs\u00e3o: Aplica\u00e7\u00e3o \u00e0 medicina intensiva (2005)"},{"key":"55_CR7","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1016\/j.procs.2017.08.287","volume":"113","author":"A Morais","year":"2017","unstructured":"Morais, A., Peixoto, H., Coimbra, C., Abelha, A., Machado, J.: Predicting the need of Neonatal Resuscitation using Data Mining. Procedia Comput. Sci. 113, 571\u2013576 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"55_CR8","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1515\/comp-2017-0007","volume":"7","author":"J Pereira","year":"2017","unstructured":"Pereira, J., Peixoto, H., Machado, J., Abelha, A.: A data mining approach for cardiovascular diagnosis. Open Comput. Sci. 7, 36\u201340 (2017)","journal-title":"Open Comput. Sci."},{"key":"55_CR9","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1515\/comp-2017-0008","volume":"7","author":"R Reis","year":"2017","unstructured":"Reis, R., Peixoto, H., Machado, J., Abelha, A.: Machine learning in nutritional follow-up research. Open Comput. Sci. 7, 41\u201345 (2017)","journal-title":"Open Comput. Sci."},{"key":"55_CR10","first-page":"69","volume":"1","author":"B Milovic","year":"2012","unstructured":"Milovic, B., Milovic, M.: Prediction and decision making in health care using data mining. Int. J. Public Health Sci. 1, 69\u201378 (2012)","journal-title":"Int. J. Public Health Sci."},{"key":"55_CR11","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1016\/S0140-6736(09)60938-7","volume":"374","author":"P Malfertheiner","year":"2009","unstructured":"Malfertheiner, P., Chan, F.K.L., McColl, K.E.L.: Peptic ulcer disease. Lancet 374, 1449\u20131461 (2009)","journal-title":"Lancet"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Sanabria, A., Villegas, M.I., Uribe, C.H.M.: Laparoscopic repair for perforated peptic ulcer disease. Cochrane Database Syst. Rev. (2013)","DOI":"10.1002\/14651858.CD004778.pub3"},{"key":"55_CR13","doi-asserted-by":"publisher","first-page":"2371","DOI":"10.1007\/s00268-008-9707-5","volume":"32","author":"RH Bhogal","year":"2008","unstructured":"Bhogal, R.H., Athwal, R., Durkin, D., Deakin, M., Cheruvu, C.N.V.: Comparison between open and laparoscopic repair of perforated peptic ulcer disease. World J. Surg. 32, 2371\u20132374 (2008)","journal-title":"World J. Surg."},{"key":"55_CR14","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1007\/s00464-009-0765-z","volume":"24","author":"MJOE Bertleff","year":"2010","unstructured":"Bertleff, M.J.O.E., Lange, J.F.: Laparoscopic correction of perforated peptic ulcer: first choice? A review of literature. Surg. Endosc. 24, 1231\u20131239 (2010)","journal-title":"Surg. Endosc."},{"key":"55_CR15","unstructured":"American Society of Anesthesiologists: ASA physical status classification system (2014)"},{"key":"55_CR16","first-page":"85","volume":"4","author":"B Deshmukh","year":"2011","unstructured":"Deshmukh, B., Patil, A.S., Pawar, B.V.: Comparison of classification algorithms using WEKA on various datasets. Int. J. Comput. Sci. Inf. Technol. 4, 85\u201390 (2011)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"55_CR17","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.procs.2017.08.296","volume":"113","author":"M Rodrigues","year":"2017","unstructured":"Rodrigues, M., Peixoto, H., Esteves, M., Machado, J., Abelha, A.: Understanding stroke in dialysis and chronic kidney disease. Procedia Comput. Sci. 113, 591\u2013596 (2017)","journal-title":"Procedia Comput. Sci."},{"key":"55_CR18","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s10994-005-0466-3","volume":"59","author":"N Landwehr","year":"2005","unstructured":"Landwehr, N., Hall, M., Frank, E.: Logistic model trees. Mach. Learn. 59, 161\u2013205 (2005)","journal-title":"Mach. Learn."},{"key":"55_CR19","unstructured":"Platt, J.: Sequential minimal optimization: a fast algorithm for training support vector machines (1998)"},{"key":"55_CR20","doi-asserted-by":"crossref","unstructured":"Bhargava, N., Jain, A., Kumar, A., Dac-Nhuong, L.: Detection of malicious executables using rule based classification algorithms. In: Jaiswal, A., Solanki, V.K., Lu, Z. (Joan), Rajput, N. (eds.) Proceedings of the First International Conference on Information Technology and Knowledge Management, pp. 35\u201338. PTI (2018)","DOI":"10.15439\/2017KM04"},{"key":"55_CR21","first-page":"5857","volume":"5","author":"AV Solanki","year":"2014","unstructured":"Solanki, A.V.: Data mining techniques using WEKA classification for sickle cell disease. Int. J. Comput. Sci. Inf. Technol. 5, 5857\u20135860 (2014)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"55_CR22","unstructured":"Stojanova, D., Panov, P., Kobler, A., D\u017eeroski, S., Ta\u0161kova, K.: Learning to predict forest fires with different data mining techniques. In: Conference on Data Mining and Data Warehouses, pp. 255\u2013258 (2006)"},{"key":"55_CR23","unstructured":"IBM: IBM SPSS Modeler CRISP-DM Guide (2011)"},{"key":"55_CR24","first-page":"162","volume":"3","author":"HKS Doreswamy","year":"2011","unstructured":"Doreswamy, H.K.S.: Performance evaluation of predictive classifiers for knowledge discovery from engineering materials data sets. CIIT Int. J. Artif. Intell. Syst. Mach. Learn. 3, 162\u2013168 (2011)","journal-title":"CIIT Int. J. Artif. Intell. Syst. Mach. Learn."}],"container-title":["Advances in Intelligent Systems and Computing","Information Technology and Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-11890-7_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T17:20:09Z","timestamp":1590686409000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-11890-7_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030118891","9783030118907"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-11890-7_55","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"29 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Technology & Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Quito","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ecuador","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 February 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 February 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icits2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icits.me\/index.php?lang=en","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}