{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T12:16:26Z","timestamp":1725538586925},"publisher-location":"Boston, MA","reference-count":25,"publisher":"Springer US","isbn-type":[{"type":"print","value":"9781441902207"},{"type":"electronic","value":"9781441902214"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-1-4419-0221-4_24","type":"book-chapter","created":{"date-parts":[[2009,10,3]],"date-time":"2009-10-03T04:01:49Z","timestamp":1254542509000},"page":"195-203","source":"Crossref","is-referenced-by-count":1,"title":["An Evolutionary Technique for Medical Diagnostic Risk Factors Selection"],"prefix":"10.1007","author":[{"given":"Dimitrios","family":"Mantzaris","sequence":"first","affiliation":[]},{"given":"George","family":"Anastassopoulos","sequence":"additional","affiliation":[]},{"family":"Iliadis","sequence":"additional","affiliation":[]},{"given":"Adam","family":"Adamopoulos","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"8","key":"24_CR1_24","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.1002\/1097-0142(20010415)91:8+<1615::AID-CNCR1175>3.0.CO;2-L","volume":"91","author":"J. Dayhoff","year":"2001","unstructured":"Dayhoff J., and DeLeo J., \u201cArtificial Neural Networks Opening the Black Box\u201d, CANCER Supplement, 2001, Vol. 91, No. 8, pp. 1615\u20131635.","journal-title":"CANCER Supplement"},{"issue":"2","key":"24_CR2_24","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/TNN.2004.824424","volume":"15","author":"D. Huang","year":"2004","unstructured":"Huang D., \u201cA Constructive Approach for Finding Arbitrary Roots of Polynomials by Neural Networks\u201d, IEEE Transactions on Neural Networks, 2004, Vol. 15, No. 2, pp. 477\u2013491.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"24_CR3_24","unstructured":"Levano M., and Nowak H., \u201cApplication of New Algorithm, Iterative SOM, to the Detection of Gene Expressions\u201d, Proceedings 10th International Conference on Engineering Applications of Neural Networks, 2007, Thessaloniki, Greece, pp. 141\u2013147."},{"issue":"7","key":"24_CR4_24","doi-asserted-by":"publisher","first-page":"1980","DOI":"10.1109\/78.700969","volume":"46","author":"A. Zaknick","year":"1998","unstructured":"Zaknick A., \u201cIntroduction to the Modified Probabilistic Neural Network for General Signal Processing\u201d, IEEE Transactions on Signal Processing, 1998, Vol. 46, No.7, pp. 1980\u20131990.","journal-title":"IEEE Transactions on Signal Processing"},{"key":"24_CR5_24","doi-asserted-by":"crossref","unstructured":"Iliadis L., \u201cAn Intelligent Artificial Neural Network Evaluation System Using Fuzzy Set Hedges: Application in Wood Industry\u201d Proceedings 19th IEEE Annual International Conference on Tools with Artificial Intelligence (ICTA), pp. 366\u2013370.","DOI":"10.1109\/ICTAI.2007.36"},{"key":"24_CR6_24","unstructured":"Paschalidou A., Iliadis L., Kassomenos P., and Bezirtzoglou C., \u201cNeural Modelling of the Tropospheric Ozone Concentrations in an Urban Site\u201d, Proc. 10th International Conference on Engineering Applications of Neural Networks, 2007 Thessaloniki, Greece, pp. 436\u2013445."},{"issue":"4","key":"24_CR7_24","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/S1076-6332(03)80186-1","volume":"9","author":"M. Keogan","year":"2002","unstructured":"Keogan M., Lo J., Freed K., Raptopoulos V., Blake S., Kamel I., Weisinger K., Rosen M., and Nelson R., \u201cOutcome Analysis of Patients with Acute Pancreatitis by Using an Artificial Neural Network\u201d, Academic Radiology, 2002, Vol. 9, No. 4, pp. 410\u2013419.","journal-title":"Academic Radiology"},{"issue":"1","key":"24_CR8_24","first-page":"40","volume":"11","author":"R. Brause","year":"2004","unstructured":"Brause R., Hanisch E., Paetz J., and Arlt B., \u201cNeural Networks for Sepsis Prediction \u2014 the MEDAN-Project1\u201d, Journal f\u00fcr An\u00e4sthesie und Intensivbehandlung, 2004, Vol. 11, No. 1, pp. 40\u201343.","journal-title":"Journal f\u00fcr An\u00e4sthesie und Intensivbehandlung"},{"issue":"3","key":"24_CR9_24","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1023\/B:APIN.0000021415.88365.c4","volume":"20","author":"J. G\u00f3mez-Ruiz","year":"2004","unstructured":"G\u00f3mez-Ruiz J., Jerez-Aragon\u00e9s J., Mu\u00f1oz-P\u00e9rez J., and Alba-Conejo E., \u201cA Neural Network Based Model for Prognosis of Early Breast Cancer\u201d, Applied Intelligence, 2004, Vol. 20, No. 3, pp. 231\u2013238.","journal-title":"Applied Intelligence"},{"issue":"9","key":"24_CR10_24","first-page":"1440","volume":"4","author":"D. Mantzaris","year":"2005","unstructured":"Mantzaris D., Anastassopoulos G., Tsalkidis A., and Adamopoulos A., \u201cIntelligent Prediction of Vesicoureteral Reflux Disease\u201d, WSEAS Transactions on Systems, 2005, Vol. 4, Issue 9, pp. 1440\u20131449.","journal-title":"WSEAS Transactions on Systems"},{"issue":"1","key":"24_CR11_24","first-page":"15","volume":"5","author":"T. Anagnostou","year":"2003","unstructured":"Anagnostou T., Remzi M., and Djavan B., \u201cArtificial Neural Networks for Decision-Making in Urologic Oncology\u201d, Reviews In Urology, 2003, Vol. 5, No. 1, pp.15\u201321.","journal-title":"Reviews In Urology"},{"key":"24_CR12_24","doi-asserted-by":"publisher","first-page":"3860","DOI":"10.1016\/j.ins.2008.06.015","volume":"178","author":"D. Mantzaris","year":"2008","unstructured":"Mantzaris D., Anastassopoulos G., Adamopoulos A., and Gardikis S., \u201cA Non-Symbolic Implementation of Abdominal Pain Estimation in Childhood\u201d, Information Science, 2008, Vol. 178, pp. 3860\u20133866.","journal-title":"Information Science"},{"issue":"1","key":"24_CR13_24","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/4233.908395","volume":"5","author":"G. Economou","year":"2001","unstructured":"Economou G., Lymperopoulos D., Karavatselou E., and Chassomeris C., \u201cA New Concept Toward Computer-Aided Medical Diagnosis \u2014 A Prototype Implementation Addressing Pulmonary Diseases\u201d IEEE Transactions in Information Technology in Biomedicine, 2001 Vol. 5, Issue 1, pp. 55\u201366.","journal-title":"IEEE Transactions in Information Technology in Biomedicine"},{"key":"24_CR14_24","doi-asserted-by":"crossref","unstructured":"Mantzaris D., Anastassopoulos C., and Lymperopoulos K., \u201cMedical Disease Prediction Using Artificial Neural Networks\u201d, Proceedings IEEE International Conference on BioInformat-ics and BioEngineering, 2008, Athens, Greece","DOI":"10.1109\/BIBE.2008.4696782"},{"key":"24_CR15_24","first-page":"565","volume":"4","author":"E. Georgopoulos","year":"2000","unstructured":"Georgopoulos E., Likothanassis S., and Adamopoulos A., \u201cEvolving Artificial Neural Networks Using Genetic Algorithms\u201d, Neural Network World, 2000, Vol. 4, pp.565\u2013574","journal-title":"Neural Network World"},{"key":"24_CR16_24","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/S0933-3657(96)00354-5","volume":"8","author":"M. Blazadonakis","year":"1996","unstructured":"Blazadonakis M., Moustakis V., and Charissis G., \u201cDeep Assessment of Machine Learning Techniques Using Patient Treatment in Acute Abdominal Pain in Children\u201d, Artificial Intelligence in Medicine, 1996, Vol. 8, pp. 527\u2013542","journal-title":"Artificial Intelligence in Medicine"},{"key":"24_CR17_24","unstructured":"Branke J., \u201cEvolutionary Algorithms for Neural Network Design and Training\u201d, Proceedings 1st Nordic Workshop on Genetic Algorithms and its Applications, 1995, Vaasa, Finland."},{"issue":"9","key":"24_CR18_24","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"X. Yao","year":"1999","unstructured":"Yao X., \u201cEvolving Artificial Neural Networks\u201d, Proceedings of the IEEE, 1999, Vol. 87, No. 9, pp. 1423\u20131447.","journal-title":"Proceedings of the IEEE"},{"issue":"1","key":"24_CR19_24","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1142\/S0129065794000074","volume":"5","author":"N. Burgess","year":"1994","unstructured":"Burgess N., \u201cA Constructive Algorithm that Converges for Real-Valued Input Patterns\u201d, International Journal on Neural Systems, 1994 Vol. 5, No. 1, pp. 59\u201366.","journal-title":"International Journal on Neural Systems"},{"key":"24_CR20_24","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/72.265960","volume":"5","author":"P. Angeline","year":"1994","unstructured":"Angeline P., Sauders G., and Pollack J., \u201cAn Evolutionary Algorithm that Constructs Recurrent Neural Networks\u201d, IEEE Transaction on Neural Networks, 1994 Vol. 5, pp. 54\u201365.","journal-title":"IEEE Transaction on Neural Networks"},{"key":"24_CR21_24","unstructured":"Adamopoulos A., Georgopoulos E., Manioudakis G., and Likothanassis S., \u201cAn Evolutionary Method for System Structure Identification Using Neural Networks\u201d, Neural Computation '98, 1998"},{"key":"24_CR22_24","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1016\/0893-6080(95)00029-Y","volume":"8","author":"S. Billings","year":"1995","unstructured":"Billings S., and Zheng G., \u201cRadial Basis Function Network Configuration Using Genetic Algorithms\u201d, Neural Networks, 1995, Vol. 8, pp. 877\u2013890.","journal-title":"Neural Networks"},{"key":"24_CR23_24","unstructured":"Swets J., \u201cSignal Detection Theory and Roc Analysis in Psychology and Diagnostics: Collected Papers\u201d, Lawrence Erlbaum Associates, 1996, Mahwah NJ."},{"issue":"2","key":"24_CR24_24","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1177\/070674370705200210","volume":"52","author":"D. Streiner","year":"2007","unstructured":"Streiner D., and Cairney J., \u201cWhat's Under the ROC? An Introduction to Receiver Operating Characteristics Curves\u201d, The Canadian Journal of Psychiatry, 2007, Vol. 52, No. 2, pp. 121\u2013 128.","journal-title":"The Canadian Journal of Psychiatry"},{"issue":"3","key":"24_CR25_24","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"33","author":"E. Parzen","year":"1962","unstructured":"Parzen E., \u201cOn Estimation of a Probability Density Function and Mode\u201d, Annals of Mathematical Statistics, 1962, Vol. 33, No.3, pp. 1065\u20131076.","journal-title":"Annals of Mathematical Statistics"}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations III"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4419-0221-4_24.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T20:10:30Z","timestamp":1619813430000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4419-0221-4_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9781441902207","9781441902214"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-1-4419-0221-4_24","relation":{},"ISSN":["1868-4238"],"issn-type":[{"type":"print","value":"1868-4238"}],"subject":[],"published":{"date-parts":[[2009]]}}}