{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T05:33:43Z","timestamp":1740548023069,"version":"3.38.0"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,9,23]],"date-time":"2010-09-23T00:00:00Z","timestamp":1285200000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2012,6]]},"DOI":"10.1007\/s10916-010-9589-6","type":"journal-article","created":{"date-parts":[[2010,9,22]],"date-time":"2010-09-22T08:06:59Z","timestamp":1285142819000},"page":"1283-1300","source":"Crossref","is-referenced-by-count":12,"title":["Variances Handling Method of Clinical Pathways Based on T-S Fuzzy Neural Networks with Novel Hybrid Learning Algorithm"],"prefix":"10.1007","volume":"36","author":[{"given":"Gang","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhibin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodi","family":"Diao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,9,23]]},"reference":[{"issue":"3","key":"9589_CR1","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1108\/14777260310480721","volume":"17","author":"L Bragato","year":"2003","unstructured":"Bragato, L., and Jacobs, K., Care pathways: the road to better health services. J. Health Organ. Manage. 17(3):164\u2013180, 2003.","journal-title":"J. Health Organ. Manage."},{"key":"9589_CR2","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1093\/intqhc\/12.5.403","volume":"12","author":"J Cheah","year":"2000","unstructured":"Cheah, J., Development and implementation of a clinical pathway programme in an acute care general hospital in Singapore. Int. J. Qual. Health Care 12:403\u2013412, 2000.","journal-title":"Int. J. Qual. Health Care"},{"issue":"4","key":"9589_CR3","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1016\/j.ijnurstu.2007.04.001","volume":"45","author":"B Hunter","year":"2008","unstructured":"Hunter, B., and Segrott, J., Re-mapping client journeys and professional identities: a review of the literature on clinical pathways. Int. J. Nurs. Stud. 45(4):608\u2013625, 2008.","journal-title":"Int. J. Nurs. Stud."},{"issue":"8","key":"9589_CR4","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1016\/j.ijmedinf.2009.03.003","volume":"78","author":"SJ Wakamiya","year":"2009","unstructured":"Wakamiya, S. J., and Yamauchi, K., What are the standard functions of electronic clinical pathways? Int. J. Med. Inform. 78(8):543\u2013550, 2009.","journal-title":"Int. J. Med. Inform."},{"key":"9589_CR5","doi-asserted-by":"crossref","unstructured":"Du, G., Jiang, Z. B., Diao, X. D., Ye, Y., Yao, Y., Modeling, variation monitoring, analyzing, reasoning for intelligently reconfigurable clinical pathway. Proceedings of the IEEE International Conference on Service Operations, Logistics and Informatics, 85\u201390, Chicago, IL, USA, 2009.","DOI":"10.1109\/SOLI.2009.5203909"},{"issue":"12","key":"9589_CR6","doi-asserted-by":"crossref","first-page":"732","DOI":"10.12968\/bjon.1996.5.12.732","volume":"5","author":"A Wigfield","year":"1996","unstructured":"Wigfield, A., and Boon, E., Critical care pathway development: the way forward. Br. J. Nurs. 5(12):732\u2013735, 1996.","journal-title":"Br. J. Nurs."},{"issue":"78","key":"9589_CR7","first-page":"78","volume":"7","author":"J Cheah","year":"1998","unstructured":"Cheah, J., Clinical pathways: changing the face of client care delivery in the next millennium. Clinician Manag. 7(78):78\u201384, 1998.","journal-title":"Clinician Manag."},{"key":"9589_CR8","first-page":"185","volume":"5","author":"MB Price","year":"1999","unstructured":"Price, M. B., Jones, A., Hawkins, J. A., et al., Critical pathways for postoperative care after simple congenital heart surgery. AJMC 5:185\u2013192, 1999.","journal-title":"AJMC"},{"issue":"4","key":"9589_CR9","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1046\/j.1471-6712.2002.00101.x","volume":"16","author":"A Atwal","year":"2002","unstructured":"Atwal, A., and Caldwell, K., Do multidisciplinary integrated care pathways improve interprofessional collaboration? Scand. J. Caring Sci. 16(4):360\u2013367, 2002.","journal-title":"Scand. J. Caring Sci."},{"issue":"2","key":"9589_CR10","first-page":"77","volume":"18","author":"S Bryan","year":"2002","unstructured":"Bryan, S., Holmes, S., Prostlethwaite, D., and Carty, N., The role of integrated care pathways in improving the client experience. Prof. Nurse 18(2):77\u201379, 2002.","journal-title":"Prof. Nurse"},{"issue":"62","key":"9589_CR11","first-page":"1","volume":"5","author":"C Caminiti","year":"2005","unstructured":"Caminiti, C., Scoditti, U., Diodati, F., and Passalacqua, R., How to promote, improve and test adherence to scientific evidence in clinical practice. BMC Health Serv. Res. 5(62):1\u201311, 2005.","journal-title":"BMC Health Serv. Res."},{"key":"9589_CR12","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.cmpb.2006.03.001","volume":"82","author":"S Wakamiya","year":"2006","unstructured":"Wakamiya, S., and Yamauchi, K., A new approach to systematization of the management of paper-based clinical pathways. Comput. Meth. Programs Biomed. 82:169\u2013176, 2006.","journal-title":"Comput. Meth. Programs Biomed."},{"issue":"8","key":"9589_CR13","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1016\/j.compbiomed.2009.05.005","volume":"39","author":"Y Ye","year":"2009","unstructured":"Ye, Y., Jiang, Z. B., Diao, X. D., Yang, D., and Du, G., An ontology-based hierarchical semantic modeling approach to clinical pathway workflows. Comput. Biol. Med. 39(8):722\u2013732, 2009.","journal-title":"Comput. Biol. Med."},{"key":"9589_CR14","doi-asserted-by":"crossref","unstructured":"Ye, Y., Jiang, Z. B., Diao, X. D., Du, G., Knowledge-based hybrid variance handling for patient care workflows based on clinical pathways. Proceedings of the IEEE International Conference on Service Operations, Logistics and Informatics, 13\u201318, Chicago, IL, USA, 2009.","DOI":"10.1109\/SOLI.2009.5203896"},{"key":"9589_CR15","doi-asserted-by":"crossref","unstructured":"Ye, Y., Jiang, Z. B., Diao, X. D., Du, G., A Semantics-Based Clinical Pathway Workflow and Variance Management Framework, 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, 758\u2013762, Bei Jing, China, 2008.","DOI":"10.1109\/SOLI.2008.4686499"},{"issue":"7","key":"9589_CR16","first-page":"1021","volume":"43","author":"G Du","year":"2009","unstructured":"Du, G., Jiang, Z. B., Diao, X. D., Sun, Y. J., Ye, Y., and Yao, Y., Adaptive workflow engine based on rule for clinical pathway. Journal of Shanghai Jiao Tong University 43(7):1021\u20131026, 2009.","journal-title":"Journal of Shanghai Jiao Tong University"},{"issue":"12","key":"9589_CR17","doi-asserted-by":"crossref","first-page":"7648","DOI":"10.1016\/j.eswa.2010.04.078","volume":"37","author":"O Er","year":"2010","unstructured":"Er, O., Yumusak, N., and Temurtas, F., Chest diseases diagnosis using artificial neural networks. Expert Syst. Appl. 37(12):7648\u20137655, 2010.","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"9589_CR18","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TFUZZ.2006.882472","volume":"15","author":"Y Chen","year":"2007","unstructured":"Chen, Y., Yang, B., Abraham, A., and Peng, L., Automatic design of hierarchical Takagi\u2013Sugeno fuzzy systems using evolutionary algorithms. IEEE Trans. Fuzzy Syst. 15(3):385\u2013397, 2007.","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"9589_CR19","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1016\/0167-9236(94)90021-3","volume":"11","author":"Y Yoon","year":"1994","unstructured":"Yoon, Y., Guimaraes, T., and Swales, G., Integrating artificial neural networks with rule-based expert systems. Decis. Support Syst. 11(5):497\u2013507, 1994.","journal-title":"Decis. Support Syst."},{"key":"9589_CR20","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"15","author":"T Takagi","year":"1985","unstructured":"Takagi, T., and Sugeno, M., Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. 15:116\u2013132, 1985.","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"5","key":"9589_CR21","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1109\/91.963761","volume":"9","author":"FJ Lin","year":"2001","unstructured":"Lin, F. J., Lin, C. H., and Shen, P. H., Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Trans. Fuzzy Sys. 9(5):751\u2013759, 2001.","journal-title":"IEEE Trans. Fuzzy Sys."},{"issue":"3","key":"9589_CR22","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"JSR Jang","year":"1993","unstructured":"Jang, J. S. R., ANFIS: Adaptive network based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23(3):665\u2013684, 1993.","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"5","key":"9589_CR23","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1109\/TFUZZ.2003.817853","volume":"11","author":"W Pedrycz","year":"2003","unstructured":"Pedrycz, W., and Reformat, M., Evolutionary fuzzy modeling. IEEE Trans. Fuzzy Syst. 11(5):652\u2013665, 2003.","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"9589_CR24","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/S0165-0114(02)00441-4","volume":"138","author":"SK Oh","year":"2003","unstructured":"Oh, S. K., Pedrycz, W., and Park, H. S., Hybrid id entification in fuzzy neural networks. Fuzzy Sets Syst. 138:399\u2013426, 2003.","journal-title":"Fuzzy Sets Syst."},{"key":"9589_CR25","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/S0165-0114(97)00098-5","volume":"101","author":"L Wang","year":"1999","unstructured":"Wang, L., and Yen, J., Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets Syst. 101:353\u2013362, 1999.","journal-title":"Fuzzy Sets Syst."},{"issue":"1","key":"9589_CR26","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.fss.2004.07.013","volume":"149","author":"H Wang","year":"2005","unstructured":"Wang, H., Kwong, S., Jin, Y., Wei, W., and Man, K. F., Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets Syst. 149(1):149\u2013186, 2005.","journal-title":"Fuzzy Sets Syst."},{"key":"9589_CR27","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1016\/j.eswa.2005.06.001","volume":"29","author":"AM Tang","year":"2005","unstructured":"Tang, A. M., Quek, C., and Ng, G. S., GA-TSKfnn: parameters tuning of fuzzy neural network using genetic algorithms. Expert Syst. Appl. 29:769\u2013781, 2005.","journal-title":"Expert Syst. Appl."},{"key":"9589_CR28","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.1016\/j.fss.2005.09.001","volume":"157","author":"CJ Lin","year":"2006","unstructured":"Lin, C. J., and Xu, Y. J., A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications. Fuzzy Sets Syst. 157:1036\u20131056, 2006.","journal-title":"Fuzzy Sets Syst."},{"key":"9589_CR29","unstructured":"Jelodar, M. S., Kamal, M., Fakhraie, S. M., Ahmadabadi, M. N., SOPC-based parallel genetic algorithm. Proceedings of the IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, 2006."},{"key":"9589_CR30","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R C., Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks. Piscataway, 1942\u20131948, 1995.","DOI":"10.1109\/ICNN.1995.488968"},{"issue":"4","key":"9589_CR31","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s00158-002-0188-0","volume":"23","author":"PC Fourie","year":"2002","unstructured":"Fourie, P. C., and Groenwold, A. A., The particle swarm optimization algorithm in size and shape. Struct. Multidiscip. O. 23(4):259\u2013267, 2002.","journal-title":"Struct. Multidiscip. O."},{"key":"9589_CR32","doi-asserted-by":"crossref","first-page":"2905","DOI":"10.1016\/j.eswa.2007.05.020","volume":"34","author":"M Han","year":"2008","unstructured":"Han, M., Sun, Y. N., and Fan, Y. N., An improved fuzzy neural network based on T-S model. Expert Syst. Appl. 34:2905\u20132920, 2008.","journal-title":"Expert Syst. Appl."},{"key":"9589_CR33","doi-asserted-by":"crossref","unstructured":"Khosla, A., Kumar, S., Aggarwal, K. K., A framework for identification of fuzzy models through particle swarm optimization, Proceedings of the IEEE Indicon Conference, 388\u2013391, Chennai, India, 2005.","DOI":"10.1109\/INDCON.2005.1590196"},{"key":"9589_CR34","doi-asserted-by":"crossref","unstructured":"Khosla, A., Kumar, S., Ghosh, K. R., A comparison of computational efforts between particle swarm optimization and genetic algorithm for identification of fuzzy models, in: Annual Conference of the North American Fuzzy Information Processing Society-NAFIPS, 245\u2013250, 2007.","DOI":"10.1109\/NAFIPS.2007.383845"},{"key":"9589_CR35","first-page":"922","volume":"160","author":"MA Shoorehdeli","year":"2009","unstructured":"Shoorehdeli, M. A., Teshnehlab, M., and Sedigh, A. K., Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter. Expert Syst. Appl. 160:922\u2013948, 2009.","journal-title":"Expert Syst. Appl."},{"key":"9589_CR36","first-page":"101","volume":"3","author":"Y Shi","year":"1999","unstructured":"Shi, Y., and Eberhart, R. C., Empirical study of particle swarm optimization. Proc. IEEE Int. Conf. Evolutionary Computation 3:101\u2013106, 1999.","journal-title":"Proc. IEEE Int. Conf. Evolutionary Computation"},{"issue":"3","key":"9589_CR37","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TEVC.2004.826071","volume":"8","author":"A Ratnaweera","year":"2004","unstructured":"Ratnaweera, A., Halgamuge, S. K., and Watoson, H. C., Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficient. IEEE Trans. Evol. Comput. 8(3):240\u2013255, 2004.","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9589_CR38","unstructured":"Lovbjerg, M., Rasmussen, T. K., Krink, T., Hybrid particle swarm optimizer with breeding and sub-populations. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). San Francisco, CA, July 2001."},{"key":"9589_CR39","unstructured":"Xie, X. F., Zhang, W. J., et al., Optimizing semiconductor devices by self-organizing particle swarm. Congress on Evolutionary Computation, Oregon, USA, 2017\u20132022, 2004."},{"issue":"12","key":"9589_CR40","doi-asserted-by":"crossref","first-page":"2036","DOI":"10.1360\/jos162036","volume":"16","author":"R He","year":"2005","unstructured":"He, R., Wang, Y., et al., An improved particle swarm optimization based on self-adaptive escape velocity. JSW 16(12):2036\u20132044, 2005.","journal-title":"JSW"},{"key":"9589_CR41","doi-asserted-by":"crossref","first-page":"5402","DOI":"10.1016\/j.eswa.2008.06.110","volume":"36","author":"C-J Lin","year":"2009","unstructured":"Lin, C.-J., Wang, J.-G., and Lee, C.-Y., Pattern recognition using neural-fuzzy networks based on improved particle swam optimization. Expert Syst. Appl. 36:5402\u20135410, 2009.","journal-title":"Expert Syst. Appl."},{"key":"9589_CR42","doi-asserted-by":"crossref","first-page":"2890","DOI":"10.1016\/j.fss.2008.01.020","volume":"159","author":"C-J Lin","year":"2008","unstructured":"Lin, C.-J., An efficient immune-based symbiotic particle swarm optimization learning algorithm for TSK-type neuro-fuzzy networks design. Fuzzy Sets Syst. 159:2890\u20132909, 2008.","journal-title":"Fuzzy Sets Syst."},{"issue":"3","key":"9589_CR43","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Bergh Van den","year":"2004","unstructured":"Van den Bergh, F., and Engelbrecht, A. P., A cooperative approach to particle swarm optimization. IEEE Trans. Evol. Comput. 8(3):225\u2013239, 2004.","journal-title":"IEEE Trans. Evol. Comput."},{"key":"9589_CR44","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1016\/j.neucom.2007.05.010","volume":"71","author":"B Niu","year":"2008","unstructured":"Niu, B., Zhu, Y. L., He, X. X., and Shena, H., A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing. Neurocomputing 71:1436\u20131448, 2008.","journal-title":"Neurocomputing"},{"key":"9589_CR45","doi-asserted-by":"crossref","unstructured":"Higashi, N., Iba, H., Particle swarm optimization with Gaussian mutation. Proceedings of the IEEE Swarm Intelligence Symp. Indianapolis: IEEE Inc, 72\u201379, 2003.","DOI":"10.1109\/SIS.2003.1202250"},{"key":"9589_CR46","doi-asserted-by":"crossref","unstructured":"Kennedy, J., Eberhart, R. C., A discrete binary version of the particle swarm algorithm, systems, man, and cybernetics, Computational Cybernetics and Simulation IEEE International Conference, 5 (12\u201315): 4104\u20134108, 1997.","DOI":"10.1109\/ICSMC.1997.637339"},{"key":"9589_CR47","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/S0165-0114(01)00241-X","volume":"132","author":"D Simon","year":"2002","unstructured":"Simon, D., Training fuzzy systems with the extended Kalman filter. Fuzzy Sets Syst. 132:189\u2013199, 2002.","journal-title":"Fuzzy Sets Syst."},{"issue":"1","key":"9589_CR48","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1287\/ijoc.12.1.24.11899","volume":"12","author":"M Coffin","year":"2000","unstructured":"Coffin, M., and Saltzman, Statistical analysis of computational tests of algorithms and heuristics. INFORMS J. Comput. 12(1):24\u201344, 2000.","journal-title":"INFORMS J. Comput."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-010-9589-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-010-9589-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-010-9589-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T23:55:13Z","timestamp":1740527713000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-010-9589-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,9,23]]},"references-count":48,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2012,6]]}},"alternative-id":["9589"],"URL":"https:\/\/doi.org\/10.1007\/s10916-010-9589-6","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"type":"print","value":"0148-5598"},{"type":"electronic","value":"1573-689X"}],"subject":[],"published":{"date-parts":[[2010,9,23]]}}}