{"id":"https://openalex.org/W4397000419","doi":"https://doi.org/10.3233/ida-230854","title":"EFS-XGBoost: A robust framework for precision classification of COVID-19 cases","display_name":"EFS-XGBoost: A robust framework for precision classification of COVID-19 cases","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4397000419","doi":"https://doi.org/10.3233/ida-230854"},"language":"en","primary_location":{"id":"doi:10.3233/ida-230854","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-230854","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014762349","display_name":"Mustufa Haider Abidi","orcid":"https://orcid.org/0000-0001-5609-5705"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mustufa Haider Abidi","raw_affiliation_strings":["Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084945799","display_name":"Neelu Khare","orcid":"https://orcid.org/0000-0001-9516-0637"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neelu Khare","raw_affiliation_strings":["School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103274727","display_name":"D Preethi","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preethi D.","raw_affiliation_strings":["Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003676590","display_name":"Hisham Alkhalefah","orcid":"https://orcid.org/0000-0003-1909-2534"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hisham Alkhalefah","raw_affiliation_strings":["Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065425358","display_name":"Usama Umer","orcid":"https://orcid.org/0000-0001-8715-7905"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Usama Umer","raw_affiliation_strings":["Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014762349"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":0.7552,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71562849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":"1","first_page":"171","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9435999989509583,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7716108560562134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48884648084640503},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.4810371696949005},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.45141860842704773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40229490399360657},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.28133004903793335},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15700367093086243},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.04147014021873474}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7716108560562134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48884648084640503},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.4810371696949005},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.45141860842704773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40229490399360657},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.28133004903793335},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15700367093086243},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.04147014021873474},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-230854","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-230854","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2805557887","https://openalex.org/W3000225415","https://openalex.org/W3030914685","https://openalex.org/W3081055701","https://openalex.org/W3089460656","https://openalex.org/W3103660845","https://openalex.org/W3118694803","https://openalex.org/W3127287554","https://openalex.org/W3154832523","https://openalex.org/W3165437720","https://openalex.org/W3165917638","https://openalex.org/W3206913875","https://openalex.org/W4214716399","https://openalex.org/W4220877954","https://openalex.org/W4225113120","https://openalex.org/W4226439930","https://openalex.org/W4283789482","https://openalex.org/W4293525840","https://openalex.org/W4313334525","https://openalex.org/W4318756876","https://openalex.org/W4362544672","https://openalex.org/W4366813503","https://openalex.org/W4377145644","https://openalex.org/W4377290632"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W4382894326","https://openalex.org/W3171943759","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536"],"abstract_inverted_index":{"The":[0,72,164,225],"emergence":[1],"of":[2,25,44,65,92,103,142,166,199,242,247,260,269,286],"the":[3,19,23,42,55,63,76,81,89,96,101,104,140,143,157,167,186,197,200,210,230,245,258,267,276,284],"novel":[4],"COVID-19":[5,69,98,151,261],"virus":[6],"has":[7],"had":[8],"a":[9,37,59,150,280],"profound":[10],"impact":[11],"on":[12],"global":[13],"healthcare":[14],"systems":[15],"and":[16,27,50,134,156,185,217,289],"economies,":[17],"underscoring":[18],"imperative":[20],"need":[21],"for":[22,40,62],"development":[24],"precise":[26,112],"expeditious":[28],"diagnostic":[29],"tools.":[30],"Machine":[31],"learning":[32],"techniques":[33],"have":[34],"emerged":[35],"as":[36,279],"promising":[38],"avenue":[39],"augmenting":[41],"capabilities":[43],"medical":[45,287],"professionals":[46],"in":[47,75,80,223,235,273,283],"disease":[48],"diagnosis":[49,288],"classification.":[51,290],"In":[52],"this":[53],"research,":[54],"EFS-XGBoost":[56,169,232],"classifier":[57,109,202,278],"model,":[58,144],"robust":[60],"approach":[61],"classification":[64,179,263],"patients":[66,116],"afflicted":[67],"with":[68,275],"is":[70,117],"proposed.":[71],"key":[73],"innovation":[74],"proposed":[77,168,231],"model":[78,170,233],"lies":[79],"Ensemble-based":[82],"Feature":[83],"Selection":[84],"(EFS)":[85],"strategy,":[86],"which":[87],"enables":[88],"judicious":[90],"selection":[91,125,215,221,251,272],"relevant":[93],"features":[94,208],"from":[95,154],"expansive":[97],"dataset.":[99],"Subsequently,":[100],"power":[102],"eXtreme":[105],"Gradient":[106],"Boosting":[107],"(XGBoost)":[108],"to":[110],"make":[111],"distinctions":[113],"among":[114],"COVID-19-infected":[115],"harnessed.The":[118],"EFS":[119],"methodology":[120],"amalgamates":[121],"five":[122],"distinctive":[123],"feature":[124,214,220,250,271],"techniques,":[126],"encompassing":[127],"correlation-based,":[128],"chi-squared,":[129],"information":[130],"gain,":[131],"symmetric":[132],"uncertainty-based,":[133],"gain":[135],"ratio":[136],"approaches.":[137],"To":[138],"evaluate":[139],"effectiveness":[141],"comprehensive":[145],"experiments":[146],"were":[147],"conducted":[148,194],"using":[149,161],"dataset":[152,211],"procured":[153],"Kaggle,":[155],"implementation":[158],"was":[159,171,193],"executed":[160],"Python":[162],"programming.":[163],"performance":[165,198],"gauged":[172],"by":[173,195],"employing":[174,206],"well-established":[175],"metrics":[176],"that":[177,229],"measure":[178],"accuracy,":[180,182],"including":[181],"precision,":[183],"recall,":[184],"F1-Score.":[187],"Furthermore,":[188],"an":[189,238],"in-depth":[190],"comparative":[191],"analysis":[192],"considering":[196],"XGBoost":[201,277],"under":[203],"various":[204],"scenarios:":[205],"all":[207],"within":[209],"without":[212],"any":[213],"technique,":[216],"utilizing":[218],"each":[219],"technique":[222],"isolation.":[224],"meticulous":[226],"evaluation":[227],"reveals":[228],"excels":[234],"performance,":[236],"achieving":[237],"astounding":[239],"accuracy":[240],"rate":[241],"99.8%,":[243],"surpassing":[244],"efficacy":[246],"other":[248],"prevailing":[249],"techniques.":[252],"This":[253],"research":[254],"not":[255],"only":[256],"advances":[257],"field":[259],"patient":[262],"but":[264],"also":[265],"underscores":[266],"potency":[268],"ensemble-based":[270],"conjunction":[274],"formidable":[281],"tool":[282],"realm":[285]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}