{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:14:17Z","timestamp":1725578057630},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642194221"},{"type":"electronic","value":"9783642194238"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-19423-8_24","type":"book-chapter","created":{"date-parts":[[2011,2,10]],"date-time":"2011-02-10T01:18:31Z","timestamp":1297300711000},"page":"221-232","source":"Crossref","is-referenced-by-count":5,"title":["Soft Computing Model to Predict Average Length of Stay of Patient"],"prefix":"10.1007","author":[{"given":"Bindu","family":"Garg","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. M.","family":"Sufyan Beg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. Q.","family":"Ansari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B. M.","family":"Imran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"24_CR1","unstructured":"Chassin, M.R.: Length of stay and outcome: myocardial infarction, variations in hospital length of stay: their relationship to health outcomes. Health Technologies Case Study 4, NTIS Order #PB84-111483 (August 1983)"},{"issue":"9","key":"24_CR2","doi-asserted-by":"publisher","first-page":"1594","DOI":"10.1097\/00003246-199709000-00031","volume":"25","author":"C. Weissman","year":"1997","unstructured":"Weissman, C.: Analyzing intensive care unit length of stay data: problems and possible solutions. Critical Care Medicine\u00a025(9), 1594\u20131599 (1997)","journal-title":"Critical Care Medicine"},{"issue":"2","key":"24_CR3","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1093\/eurpub\/11.2.166","volume":"11","author":"A. Clarke","year":"2001","unstructured":"Clarke, A., Rosen, R.: Length of stay, how short should hospital care be? European Journal of Public Health\u00a011(2), 166\u2013170 (2001)","journal-title":"European Journal of Public Health"},{"key":"24_CR4","unstructured":"Walczak, S., Scorpio, R., Pofahl, W.: Predicting hospital length of stay with neural networks. In: The Proceedings of the Eleventh International FLAIRS Conference, pp. 333\u2013337 (1998)"},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/0165-0114(93)90372-O","volume":"54","author":"Q. Song","year":"1993","unstructured":"Song, Q., Chissom, B.S.: Fuzzy time series and its models. Fuzzy Sets and Systems\u00a054, 269\u2013277 (1993)","journal-title":"Fuzzy Sets and Systems"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Song, Q., Chissom, B.S.: Forecasting enrollments with fuzzy time series Part I. Fuzzy Sets and Systems\u00a054, 1\u20139","DOI":"10.1016\/0165-0114(93)90355-L"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0165-0114(94)90067-1","volume":"62","author":"Q. Song","year":"1994","unstructured":"Song, Q., Chissom, B.S.: Forecasting enrollments with fuzzy time series: Part II. Fuzzy Sets and Systems\u00a062, 1\u20138 (1994)","journal-title":"Fuzzy Sets and Systems"},{"key":"24_CR8","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1080\/01969720302867","volume":"34","author":"Q. Song","year":"2003","unstructured":"Song, Q.: A note on fuzzy time series model selection with sample autocorrelation functions. Cybernetics and Systems: An International Journal\u00a034, 93\u2013107 (2003)","journal-title":"Cybernetics and Systems: An International Journal"},{"issue":"3","key":"24_CR9","first-page":"234","volume":"2","author":"S.M. Chen","year":"2004","unstructured":"Chen, S.M., Hsu, C.-C.: A new method to forecasting enrollments using fuzzy time series. International Journal of Applied Science and Engineering\u00a02(3), 234\u2013244 (2004)","journal-title":"International Journal of Applied Science and Engineering"},{"key":"24_CR10","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0165-0114(95)00220-0","volume":"81","author":"S.M. Chen","year":"1996","unstructured":"Chen, S.M.: Forecasting enrollments based on fuzzy time series. Fuzzy Sets and Systems\u00a081, 311\u2013319 (1996)","journal-title":"Fuzzy Sets and Systems"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/019697202753306479","volume":"33","author":"S.M. Chen","year":"2002","unstructured":"Chen, S.M.: Forecasting enrollments based on high-order fuzzy time series. Cybernetics and Systems: An International Journal\u00a033, 1\u201316 (2002)","journal-title":"Cybernetics and Systems: An International Journal"},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/S0165-0114(00)00093-2","volume":"123","author":"K. Huarng","year":"2002","unstructured":"Huarng, K.: Heuristic models of fuzzy time series for forecasting. Fuzzy Sets and Systems\u00a0123, 369\u2013386 (2002)","journal-title":"Fuzzy Sets and Systems"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/S0165-0114(00)00057-9","volume":"12","author":"K. Huarng","year":"2001","unstructured":"Huarng, K.: Effective lengths of intervals to improve forecasting in fuzzy time series. Fuzzy Sets and Systems\u00a012, 387\u2013394 (2001)","journal-title":"Fuzzy Sets and Systems"},{"key":"24_CR14","unstructured":"Hsu, C.C., Chen, S.M.: A new method for forecasting enrollments based on fuzzy time series. In: The Proceedings of Seventh Conference on Artificial Intelligence and Applications, Taichung, Taiwan, Republic of China, pp. 17\u201322"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/S0165-0114(97)00121-8","volume":"100","author":"J.R. Hwang","year":"1998","unstructured":"Hwang, J.R., Chen, S.M., Lee, C.H.: Handling forecasting problems using fuzzy time series. Fuzzy Sets and Systems\u00a0100, 217\u2013228 (1998)","journal-title":"Fuzzy Sets and Systems"},{"issue":"3","key":"24_CR16","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1109\/TFUZZ.2006.876367","volume":"14","author":"L.W. Lee","year":"2006","unstructured":"Lee, L.W., Wang, L.W., Chen, S.M.: Handling forecasting problems based on two-factors high-order time series. IEEE Transactions on Fuzzy Systems\u00a014(3), 468\u2013477 (2006)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Li, H., Kozma, R.: A dynamic neural network method for time series prediction using the KIII model. In: The Proceedings of the 2003 International Joint Conference on Neural Networks, vol.\u00a01, pp. 347\u2013352 (2003)","DOI":"10.1109\/IJCNN.2003.1223370"},{"key":"24_CR18","unstructured":"Melike, S., Degtiarev, K.Y.: Forecasting Enrollment Model Based on First-Order Fuzzy Time Series. In: The Proceedings of World Academy of Science, Engineering and Technology, vol.\u00a01, pp. 1307\u20136884 (2005)"},{"key":"24_CR19","unstructured":"Melike, S., Konstsntin, Y.D.: Forecasting enrollment model based on first-order fuzzy time series. In: The Proceedings of the International Conference on Computational Intelligence, Istanbul, Turkey (2004)"},{"key":"24_CR20","first-page":"333","volume":"23","author":"T.A. Jilani","year":"2007","unstructured":"Jilani, T.A., Burney, S.M.A., Ardil, C.: Fuzzy metric approach for fuzzy time series forecasting based on frequency density based partitioning. Proceedings of World Academy of Science, Engineering and Technology\u00a023, 333\u2013338 (2007)","journal-title":"Proceedings of World Academy of Science, Engineering and Technology"},{"issue":"1","key":"24_CR21","first-page":"15","volume":"4","author":"T.A. Jilani","year":"2007","unstructured":"Jilani, T.A., Burney, S.M.A., Ardil, C.: Multivariate high order fuzzy time series forecasting for car road accidents. International Journal of Computational Intelligence\u00a04(1), 15\u201320 (2007)","journal-title":"International Journal of Computational Intelligence"},{"key":"24_CR22","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/j.matcom.2008.02.026","volume":"79","author":"S.R. Singh","year":"2008","unstructured":"Singh, S.R.: A computational method of forecasting based on fuzzy time series. International Journal of Mathematics and Computers in Simulation\u00a079, 539\u2013554 (2008)","journal-title":"International Journal of Mathematics and Computers in Simulation"}],"container-title":["Communications in Computer and Information Science","Information Intelligence, Systems, Technology and Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-19423-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,8]],"date-time":"2019-06-08T08:47:35Z","timestamp":1559983655000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-19423-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642194221","9783642194238"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-19423-8_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2011]]}}}