{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T12:37:18Z","timestamp":1726231038284},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Electrical Engineering"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1016\/j.compeleceng.2020.106958","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T03:47:41Z","timestamp":1609645661000},"page":"106958","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":45,"special_numbering":"C","title":["An automated breast cancer diagnosis using feature selection and parameter optimization in ANN"],"prefix":"10.1016","volume":"90","author":[{"given":"Punitha","family":"S.","sequence":"first","affiliation":[]},{"given":"Fadi","family":"Al-Turjman","sequence":"additional","affiliation":[]},{"given":"Thompson","family":"Stephan","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.compeleceng.2020.106958_bib0001","doi-asserted-by":"crossref","first-page":"3240","DOI":"10.1016\/j.eswa.2008.01.009","article-title":"Support vector machines combined with feature selection for breast cancer diagnosis","volume":"36","author":"Akay","year":"2009","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0002","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.eswa.2006.09.041","article-title":"Prediction model building and feature selection with support vector machines in breast cancer diagnosis","volume":"34","author":"Huang","year":"2008","journal-title":"Expert Syst Appl"},{"issue":"2","key":"10.1016\/j.compeleceng.2020.106958_bib0003","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.eswa.2005.09.024","article-title":"A GA-based feature selection and parameters optimization for support vector machines","volume":"31","author":"Huang","year":"2006","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0004","first-page":"357","article-title":"A novel hybrid perceptron neural network algorithm for classifying breast MRI tumors","volume":"2","author":"ElNawasany","year":"2014","journal-title":"Commun Comput Inf Sci"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0005","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1111\/j.1468-0394.2012.00654.x","article-title":"Higher order spectra analysis of breast thermograms for the automated identification of breast cancer","volume":"31","author":"Acharya","year":"2012","journal-title":"Expert Syst"},{"issue":"2","key":"10.1016\/j.compeleceng.2020.106958_bib0006","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1109\/TEVC.2004.825567","article-title":"A novel approach to design classifiers using genetic programming","volume":"8","author":"Muni","year":"2004","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"10.1016\/j.compeleceng.2020.106958_bib0007","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/TEVC.2011.2166158","article-title":"A filter approach to multiple feature construction for symbolic learning classifiers using genetic programming","volume":"16","author":"Neshatian","year":"2012","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"10.1016\/j.compeleceng.2020.106958_bib0008","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1007\/978-3-642-27172-4_43","article-title":"A CAD system for breast cancer diagnosis using modified genetic algorithm optimized artificial neural network","volume":"1","author":"Dheeba","year":"2011","journal-title":"Swarm, Evolut Memet Comput"},{"issue":"4","key":"10.1016\/j.compeleceng.2020.106958_bib0009","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.tele.2017.01.007","article-title":"A knowledge-based system for breast cancer classification using fuzzy logic method","volume":"34","author":"Nilashi","year":"2017","journal-title":"Telemat Inf"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0010","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.eswa.2017.05.035","article-title":"Optimal breast cancer classification using Gauss\u2013Newton representation-based algorithm","volume":"85","author":"Dora","year":"2017","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0011","doi-asserted-by":"crossref","first-page":"26","DOI":"10.7212\/zkufbd.v5i1.115","article-title":"A hybrid model for breast cancer diagnosis based on expection-maximization and artificial neural network: EM+ANN","volume":"5","author":"Kaya","year":"2015","journal-title":"Karaelmas Sci Eng J"},{"issue":"2","key":"10.1016\/j.compeleceng.2020.106958_bib0012","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.eswa.2015.10.015","article-title":"Breast cancer classification using deep belief networks","volume":"46","author":"Abdel-Zaher","year":"2016","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.compeleceng.2020.106958_bib0013","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.asoc.2013.09.018","article-title":"Particle swarm optimization for feature selection in classification: novel initialization and updating mechanisms","volume":"18","author":"Xue","year":"2014","journal-title":"Appl Soft Comput"},{"key":"10.1016\/j.compeleceng.2020.106958_bib0014","series-title":"2015 11th International Conference on Computational Intelligence and Security (CIS)","first-page":"78","article-title":"A feature subset selection algorithm based on feature activity and improved GA","volume":"2","author":"Li","year":"2015"},{"issue":"3","key":"10.1016\/j.compeleceng.2020.106958_bib0015","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/S0933-3657(02)00028-3","article-title":"An evolutionary artificial neural networks approach for breast cancer diagnosis","volume":"25","author":"Abbass","year":"2002","journal-title":"Artif Intell Med"},{"issue":"8","key":"10.1016\/j.compeleceng.2020.106958_bib0016","doi-asserted-by":"crossref","first-page":"9573","DOI":"10.1016\/j.eswa.2011.01.167","article-title":"WBCD breast cancer database classification applying the artificial metaplasticity neural network","volume":"38","author":"Marcano-Cede\u00f1o","year":"2011","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0017","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.jbi.2009.07.008","article-title":"A novel feature selection approach for biomedical data classification","volume":"43","author":"Peng","year":"2010","journal-title":"J Biomed Inform"},{"issue":"10","key":"10.1016\/j.compeleceng.2020.106958_bib0018","doi-asserted-by":"crossref","first-page":"4611","DOI":"10.1016\/j.eswa.2015.01.065","article-title":"Breast cancer diagnosis using Genetically Optimized Neural Network model","volume":"42","author":"Bhardwaj","year":"2015","journal-title":"Expert Syst Appl"},{"issue":"4","key":"10.1016\/j.compeleceng.2020.106958_bib0019","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1007\/s10044-014-0375-9","article-title":"A GA-based feature selection and parameter optimization of an ANN in diagnosing breast cancer","volume":"18","author":"Ahmad","year":"2014","journal-title":"Pattern Anal Appl"},{"key":"10.1016\/j.compeleceng.2020.106958_bib0020","series-title":"2016 IEEE Congress on Evolutionary Computation (CEC)","first-page":"34","article-title":"An ANN approach for false alarm detection in microwave breast cancer detection","volume":"1","author":"Solanki","year":"2016"},{"issue":"1","key":"10.1016\/j.compeleceng.2020.106958_bib0021","doi-asserted-by":"crossref","first-page":"36","DOI":"10.20943\/IJCSI-201602-3641","article-title":"GA-based feature selection with ANFIS approach to breast cancer recurrence. (2016)","volume":"13","author":"Turabieh","year":"2016","journal-title":"Int J Comput Sci Issues"},{"key":"10.1016\/j.compeleceng.2020.106958_bib0022","series-title":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","first-page":"44","article-title":"Choquet integral based feature selection for early breast cancer diagnosis from MRIs","volume":"2","author":"Trabelsi Ben Ameur","year":"2016"},{"key":"10.1016\/j.compeleceng.2020.106958_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.comcom.2020.02.069","article-title":"Applications of artificial intelligence and machine learning in smart cities","author":"Ullah","year":"2020","journal-title":"Els Comput Commun J"},{"issue":"7","key":"10.1016\/j.compeleceng.2020.106958_bib0024","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10916-019-1348-8","article-title":"Enhanced Monarchy Butterfly Optimization Technique for effective breast cancer diagnosis","volume":"43","author":"Punitha","year":"2019","journal-title":"J Med Syst"},{"issue":"6","key":"10.1016\/j.compeleceng.2020.106958_bib0025","first-page":"926","article-title":"Particle swarm optimization-based energy efficient channel assignment technique for clustered cognitive radio sensor networks","volume":"61","author":"Thompson","year":"2018","journal-title":"The Comput J, Oxford Univ Press"}],"container-title":["Computers & Electrical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0045790620308041?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0045790620308041?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T01:24:27Z","timestamp":1619141067000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0045790620308041"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":25,"alternative-id":["S0045790620308041"],"URL":"https:\/\/doi.org\/10.1016\/j.compeleceng.2020.106958","relation":{},"ISSN":["0045-7906"],"issn-type":[{"value":"0045-7906","type":"print"}],"subject":[],"published":{"date-parts":[[2021,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An automated breast cancer diagnosis using feature selection and parameter optimization in ANN","name":"articletitle","label":"Article Title"},{"value":"Computers & Electrical Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compeleceng.2020.106958","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"106958"}}