{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:21:30Z","timestamp":1768339290363,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642213250","type":"print"},{"value":"9783642213267","type":"electronic"}],"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\/978-3-642-21326-7_45","type":"book-chapter","created":{"date-parts":[[2011,5,13]],"date-time":"2011-05-13T02:27:00Z","timestamp":1305253620000},"page":"418-425","source":"Crossref","is-referenced-by-count":14,"title":["A Prediction Model to Diabetes Using Artificial Metaplasticity"],"prefix":"10.1007","author":[{"given":"Alexis","family":"Marcano-Cede\u00f1o","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joaqu\u00edn","family":"Torres","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Andina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"4","key":"45_CR1","first-page":"215","volume":"15","author":"E.I. Mohamed","year":"2002","unstructured":"Mohamed, E.I., Linderm, R., Perriello, G., Di Daniele, N., Poppl, S.J., De Lorenzo, A.: Predicting type 2 diabetes using an electronic nose-base artificial neural network analysis. Diabetes Nutrition & Metabolism\u00a015(4), 215\u2013221 (2002)","journal-title":"Diabetes Nutrition & Metabolism"},{"key":"45_CR2","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.diabres.2009.10.007","volume":"87","author":"J.E. Shaw","year":"2010","unstructured":"Shaw, J.E., Sicree, R.A., Zimmet, P.Z.: Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Research and Clinical Practice\u00a087, 4\u201314 (2010), doi:10.1016\/j.diabres.2009.10.007","journal-title":"Diabetes Research and Clinical Practice"},{"key":"45_CR3","unstructured":"American diabetes asociation, \n                  \n                    http:\/\/www.diabetes.org\/diabetes-basics\/"},{"key":"45_CR4","unstructured":"International Diabetes Federation, \n                  \n                    http:\/\/www.idf.org"},{"issue":"4","key":"45_CR5","doi-asserted-by":"publisher","first-page":"8610","DOI":"10.1016\/j.eswa.2008.10.032","volume":"36","author":"H. Temurtas","year":"2009","unstructured":"Temurtas, H., Yumusak, N., Temurtas, F.: A comparative study on diabetes disease diagnosis using neural networks. Expert Systems with Applications\u00a036(4), 8610\u20138615 (2009), doi:10.1016\/j.eswa.2008.10.032","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"45_CR6","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.eswa.2006.09.001","volume":"34","author":"K. Polat","year":"2008","unstructured":"Polat, K., Gunes, S., Aslan, A.: A cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machine. Expert Systems with Applications\u00a034(1), 214\u2013221 (2008), doi:10.1016\/j.eswa.2006.09.012","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"45_CR7","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1016\/j.dsp.2006.09.005","volume":"17","author":"K. Polat","year":"2007","unstructured":"Polat, K., Gunes, S.: An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease. Digital Signal Processing\u00a017(4), 702\u2013710 (2007)","journal-title":"Digital Signal Processing"},{"key":"45_CR8","unstructured":"UCI machine learning respiratory, \n                  \n                    http:\/\/archive.ics.uci.edu\/ml\/datasets.html\n                  \n                  \n                ."},{"key":"45_CR9","first-page":"15","volume-title":"The Hippocampus: Functions and Clinical Relevance","author":"W.C. Abraham","year":"1996","unstructured":"Abraham, W.C.: Activity-dependent regulation of synaptic plasticity(metaplasticity) in the hippocampus. In: Kato, N. (ed.) The Hippocampus: Functions and Clinical Relevance, pp. 15\u201326. Elsevier Science, Amsterdam (1996)"},{"key":"45_CR10","unstructured":"Kinto, E., Del-Moral-Hernandez, E., Marcano-Cede\u00f1o, A., Ropero-Pel\u00e1ez, J.: A preliminary neural model for movement direction recognition based on biologically plausible plasticity rules. In: Mira, J., \u00c1lvarez, J.R. (eds.) IWINAC 2007. LNCS, vol.\u00a04528, pp. 628\u2013636. Springer, Heidelberg (2007), doi:10.1007\/978-3-540- 73055-2_65"},{"key":"45_CR11","unstructured":"Andina, D., Alvarez-Vellisco, A., Jevti\u0107, A., Fombellida, J.: Artificial metaplasticity can improve artificial neural network learning. Intelligent Automation and Soft Computing; Special Issue in Signal Processing and Soft Computing, 15(4), 681-694 (2009); ISSN: 1079-8587"},{"key":"45_CR12","doi-asserted-by":"crossref","unstructured":"Marcano-Cede\u00f1o, A., Quintanilla-Dom\u00ednguez, J., Andina, D.: Breast cancer classification applying artificial metaplasticity algorithm. Neurocomputing, doi:10.1016\/j.neucom.2010.07.019","DOI":"10.1016\/j.neucom.2010.07.019"},{"key":"45_CR13","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"C.E. Shannon","year":"1948","unstructured":"Shannon, C.E.: A mathematical theory of communication. The Bell System Technical Journal\u00a027, 379\u2013423 (1948), doi:10.1145\/584091.584093","journal-title":"The Bell System Technical Journal"},{"key":"45_CR14","volume-title":"Neural network design","author":"M.T. Hagan","year":"1996","unstructured":"Hagan, M.T., Demuth, H.B., Beale, M.: Neural network design. PWS Pub. Co., Boston (1996)"},{"key":"45_CR15","doi-asserted-by":"publisher","first-page":"2101","DOI":"10.1109\/78.134446","volume":"39","author":"H. Leung","year":"1991","unstructured":"Leung, H., Haykin, S.: The complex backpropagation algorithm. IEEE Transactions on Signal Processing\u00a039, 2101\u20132104 (1991)","journal-title":"IEEE Transactions on Signal Processing"}],"container-title":["Lecture Notes in Computer Science","New Challenges on Bioinspired Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21326-7_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T03:35:42Z","timestamp":1558582542000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21326-7_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642213250","9783642213267"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21326-7_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011]]}}}