{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T16:06:15Z","timestamp":1778083575332,"version":"3.51.4"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,9]]},"DOI":"10.1109\/iscc58397.2023.10218243","type":"proceedings-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:46:48Z","timestamp":1693244808000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["The Effect of Feature Selection on Diabetes Prediction Using Machine Learning"],"prefix":"10.1109","author":[{"given":"Rania","family":"Alhalaseh","sequence":"first","affiliation":[{"name":"Mutah University,Information Technology Faculty,Karak,Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dhuha Ali Ghani","family":"AL-Mashhadany","sequence":"additional","affiliation":[{"name":"Mutah University,Information Technology Faculty,Karak,Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Abbadi","sequence":"additional","affiliation":[{"name":"Mutah University,Information Technology Faculty,Karak,Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpbup.2021.100032"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0179805"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.336"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.05.122"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1714\/1\/012013"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0229716"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1111\/j.1742-1241.2007.01336.x"},{"key":"ref11","first-page":"59","article-title":"Data mining and machine learning approaches and technologies for diagnosing diabetes in women","author":"alaoui","year":"0","journal-title":"Big Data and Networks Technologies"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcce.2021.01.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2007.07.002"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.5772\/52397"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INNOVATIONS.2011.5893838"},{"key":"ref16","first-page":"3074","article-title":"Prediction of diabetes in females of pima indian heritage: a complete supervised learning approach","volume":"12","author":"bhoi","year":"2021","journal-title":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014707"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2161285"},{"key":"ref51","first-page":"33","article-title":"Glycosylated hemoglobin (HbA1C): A brief overview for clinicians","volume":"1","author":"rawal","year":"2016","journal-title":"Indian J Immunol Respir Med"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4020054"},{"key":"ref46","first-page":"170","article-title":"Decision support in heart disease prediction system using naive bayes","volume":"2","author":"subbalakshmi","year":"2011","journal-title":"Indian Journal of Computer Science and Engineering (IJCSE)"},{"key":"ref45","first-page":"290","article-title":"Prediction system for heart disease using naïve bayes","volume":"3","author":"pattekari","year":"2012","journal-title":"International Journal of Advanced Computer and Mathematical Sciences"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2478\/amcs-2013-0059"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrmms.2013.04.005"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCS51430.2021.9441935"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1148\/rg.301095057"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9428612"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.30534\/ijatcse\/2020\/104932020"},{"key":"ref7","author":"rashid","year":"2020","journal-title":"Diabetes dataset mendeley data"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11020228"},{"key":"ref4","author":"canlas","year":"2009","journal-title":"Data Mining in Healthcare Current Applications and Issues"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3424978.3425085"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2017.91001"},{"key":"ref5","author":"website","year":"0","journal-title":"Pima Indians Diabetes Database"},{"key":"ref40","first-page":"659","article-title":"Improving the classification accuracy using recursive feature elimination with cross-validation","volume":"11","author":"misra","year":"2020","journal-title":"Int J Emerg Technol"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.02.014"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1201\/9780429186196"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.01.025"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SST49455.2020.9264072"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2905055.2905100"},{"key":"ref30","first-page":"37","author":"tang","year":"2014","journal-title":"Feature Selection for Classification A Review"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2022.100060"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/569\/5\/052008"},{"key":"ref2","first-page":"1168","article-title":"Performance analysis of different classification methods in data mining for diabetes dataset using WEKA tool","volume":"3","author":"joshi","year":"2015","journal-title":"International Journal on Recent and Innovation Trends in Computing and Communication"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ceh.2020.11.001"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2015.02.025"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.21817\/indjcse\/2020\/v11i6\/201106201"},{"key":"ref24","article-title":"Learning from imbalanced data sets","author":"fern\u00e1ndez","year":"2018","journal-title":"Cambridge International Law Journal"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105292"},{"key":"ref26","article-title":"Improved overlap-based undersampling for imbalanced dataset classification with application to epilepsy and parkinson's disease","volume":"30","author":"vuttipittayamongkol","year":"2020","journal-title":"International Journal of Neural Systems"},{"key":"ref25","author":"hassanat","year":"2022","journal-title":"Stop oversampling for class imbalance learning A critical review"},{"key":"ref20","first-page":"1","article-title":"Myocardial infarction detection based on deep neural network on imbalanced data","author":"hammad","year":"2021","journal-title":"Multimedia Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2017.8125820"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/su13094888"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph18063317"},{"key":"ref27","first-page":"1200","article-title":"A review of feature selection methods with applications","author":"jovi","year":"0","journal-title":"2015 38th international convention on information and communication technology electronics and micro-electronics (MIPRO)"},{"key":"ref29","first-page":"11571182","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"}],"event":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","location":"Gammarth, Tunisia","start":{"date-parts":[[2023,7,9]]},"end":{"date-parts":[[2023,7,12]]}},"container-title":["2023 IEEE Symposium on Computers and Communications (ISCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10217219\/10217829\/10218243.pdf?arnumber=10218243","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:50:45Z","timestamp":1695664245000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10218243\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,9]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/iscc58397.2023.10218243","relation":{},"subject":[],"published":{"date-parts":[[2023,7,9]]}}}