{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T04:04:38Z","timestamp":1776830678399,"version":"3.51.2"},"reference-count":92,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100014810","name":"Fondazione di Sardegna through the Project ADAM","doi-asserted-by":"publisher","award":["CUP F74I19000900007"],"award-info":[{"award-number":["CUP F74I19000900007"]}],"id":[{"id":"10.13039\/100014810","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014810","name":"ASTRID","doi-asserted-by":"publisher","award":["CUP F75F21001220007)"],"award-info":[{"award-number":["CUP F75F21001220007)"]}],"id":[{"id":"10.13039\/100014810","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3221750","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T21:42:06Z","timestamp":1668462126000},"page":"119593-119606","source":"Crossref","is-referenced-by-count":8,"title":["Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6571-3816","authenticated-orcid":false,"given":"Andrea","family":"Loddo","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giacomo","family":"Meloni","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3983-6844","authenticated-orcid":false,"given":"Barbara","family":"Pes","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105032"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref70","author":"chollet","year":"2017","journal-title":"Deep Learning with Python"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3058537"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106269"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01266-z"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054775"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90265-9"},{"key":"ref78","article-title":"Neural oblivious decision ensembles for deep learning on tabular data","author":"popov","year":"2019","journal-title":"arXiv 1909 06312"},{"key":"ref79","first-page":"113","article-title":"Oblivious decision trees and abstract cases","author":"langley","year":"1994","journal-title":"Proc Workshop Case-Based Reasoning (AAAI)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s42600-020-00112-5"},{"key":"ref32","article-title":"Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population","volume":"86","author":"banerjee","year":"2020","journal-title":"International Journal of Immunopharmacology"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-020-01597-4"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCS54159.2022.9785113"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(20)30274-0"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4733167"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104335"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100449"},{"key":"ref60","first-page":"37","article-title":"Feature selection for classification: A review","author":"tang","year":"2014","journal-title":"Data Classification Algorithms and Applications"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2966296"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-21858-8"},{"key":"ref63","article-title":"Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data","volume":"169","author":"ghosh","year":"2021","journal-title":"Expert Syst Appl"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105233"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.832"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105350"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab354"},{"key":"ref66","author":"tan","year":"2018","journal-title":"Introduction to Data Mining"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICIBT52874.2022.9807725"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087357"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.066138"},{"key":"ref69","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref2","year":"2022","journal-title":"WHO Coronavirus (COVID-19) Dashboard"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejphar.2020.173381"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s12539-021-00431-w"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00392-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102589"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2990959"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00307-0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102046"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/app11178227"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50023-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022631118932"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102470"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027314"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.11.008"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.05.011"},{"key":"ref58","first-page":"11","author":"bol\u00f3n-canedo","year":"2022","journal-title":"Feature Selection From the Past to the Future"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.6029\/smartcr.2014.03.007"},{"key":"ref56","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00124"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref52","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102270"},{"key":"ref11","first-page":"2672","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-020-01597-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-020-09785-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3042523"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.7861\/futurehosp.6-2-94"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101822"},{"key":"ref82","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2788044"},{"key":"ref81","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104375"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2012.04.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115695"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2015.06.005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117549"},{"key":"ref80","year":"2021","journal-title":"baosenguo\/kaggle-moa-2nd-place-solution"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19066-2_19"},{"key":"ref4","first-page":"300","article-title":"Machine learning in medical applications","author":"magoulas","year":"1999","journal-title":"Advanced Course on Artificial Intelligence"},{"key":"ref3","year":"2021","journal-title":"Coronaviruses"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101993"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-018-0004-1"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.3041527"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102444"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.3390\/info12080286"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0217-0"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/BF00153759"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23878-9_28"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922987"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102193"},{"key":"ref46","author":"witten","year":"2016","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5753\/sbcas.2021.16067"},{"key":"ref48","author":"fan","year":"2008","journal-title":"LIBLINEAR—A Library for Large Linear Classification"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007465528199"},{"key":"ref42","year":"2022","journal-title":"Infections in Oxfordshire Research Database (IORD)"},{"key":"ref41","year":"2020","journal-title":"Diagnosis of COVID-19 and its clinical spectrum"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102216"},{"key":"ref43","author":"li","year":"2022","journal-title":"Classification of COVID19 and Influenza Patients"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09947045.pdf?arnumber=9947045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:49:15Z","timestamp":1670874555000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9947045\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":92,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3221750","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}