{"id":"https://openalex.org/W4407691884","doi":"https://doi.org/10.1109/dsit61374.2024.10881133","title":"A Novel Two-Stage Feature Selection Framework for Efficiently Diagnosing Alzheimer's Disease","display_name":"A Novel Two-Stage Feature Selection Framework for Efficiently Diagnosing Alzheimer's Disease","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4407691884","doi":"https://doi.org/10.1109/dsit61374.2024.10881133"},"language":"en","primary_location":{"id":"doi:10.1109/dsit61374.2024.10881133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-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/A5111319818","display_name":"Pinya Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pinya Lu","raw_affiliation_strings":["Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051340800","display_name":"Wenzhao Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenzhao Gao","raw_affiliation_strings":["Ulster University,School of Computing, Engineering & Intelligent Systems,Derry~Londonderry,NI,UK"],"affiliations":[{"raw_affiliation_string":"Ulster University,School of Computing, Engineering & Intelligent Systems,Derry~Londonderry,NI,UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653865","display_name":"Jie Pan","orcid":"https://orcid.org/0000-0001-7817-0198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Pan","raw_affiliation_strings":["Xiamen Jingyi Zhikang Technology Company,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen Jingyi Zhikang Technology Company,Xiamen,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793328","display_name":"Hongqin Yang","orcid":"https://orcid.org/0009-0008-8764-172X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqin Yang","raw_affiliation_strings":["Fujian Normal University,College of Photonic and Electronic Engineering,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Photonic and Electronic Engineering,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102873164","display_name":"Xuemei Ding","orcid":"https://orcid.org/0000-0002-1830-1990"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Ding","raw_affiliation_strings":["Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fujian Normal University,College of Computer and Cyber Security,Fuzhou,China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111319818"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":null,"apc_paid":null,"fwci":0.7268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82313609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7461615800857544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794034838676453},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6183227300643921},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5163142085075378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144593715667725},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42382270097732544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39119991660118103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3609790503978729},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06447809934616089}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7461615800857544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794034838676453},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6183227300643921},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5163142085075378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144593715667725},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42382270097732544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39119991660118103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3609790503978729},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06447809934616089},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsit61374.2024.10881133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit61374.2024.10881133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1847168837","https://openalex.org/W1953027527","https://openalex.org/W1974578317","https://openalex.org/W1976809766","https://openalex.org/W2051737015","https://openalex.org/W2075294480","https://openalex.org/W2085870059","https://openalex.org/W2102471334","https://openalex.org/W2109140840","https://openalex.org/W2116661285","https://openalex.org/W2126105956","https://openalex.org/W2135046866","https://openalex.org/W2143997631","https://openalex.org/W2165758561","https://openalex.org/W2406394474","https://openalex.org/W2551454534","https://openalex.org/W2752287204","https://openalex.org/W2798054687","https://openalex.org/W2891385203","https://openalex.org/W2904079367","https://openalex.org/W2921247158","https://openalex.org/W2974095258","https://openalex.org/W3005048617","https://openalex.org/W3104107797","https://openalex.org/W3125069671","https://openalex.org/W3216119358","https://openalex.org/W4220771887","https://openalex.org/W4226014063","https://openalex.org/W4229335109","https://openalex.org/W4286254503"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4205762803","https://openalex.org/W4393624937","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Research":[0],"focus":[1],"on":[2,80,155],"the":[3,60,86,114],"trade-off":[4],"between":[5],"diagnostic":[6,52],"accuracy":[7,53],"for":[8,15,107,119,143,173],"Alzheimer's":[9],"disease":[10],"(AD)":[11],"and":[12,34,46,54,83,151,176],"time":[13,118,128],"management":[14],"diagnosis":[16,175],"is":[17,64],"very":[18],"limited.":[19],"This":[20],"study":[21],"proposes":[22],"a":[23,40,95,102,124,136,156],"novel":[24],"two-stage":[25],"feature":[26,76,108],"selection":[27,77,109],"framework":[28,62],"integrating":[29],"variance":[30],"inflation":[31],"factor":[32],"(VIF)":[33],"NSGA-II":[35],"optimization":[36,88],"algorithm":[37],"to":[38,164],"obtain":[39],"set":[41,157],"of":[42,44,75,90,116,129,141,158,161],"sub-items":[43,162],"cognitive":[45,149],"neuropsychological":[47],"assessments":[48],"(CNAs)":[49],"with":[50,135],"high":[51],"short":[55],"managing":[56,117,127],"time.":[57],"What":[58],"sets":[59],"proposed":[61],"apart":[63],"that":[65],"it":[66],"1)":[67],"mitigates":[68],"multicollinearity":[69],"issues":[70],"caused":[71],"by":[72,133],"multiple":[73,81],"types":[74],"algorithms":[78],"employed":[79],"CNAs":[82],"2)":[84],"has":[85],"multi-objective":[87],"capacity":[89],"searching":[91],"Pareto":[92],"solutions":[93],"in":[94,179],"reduced":[96],"decision":[97],"space.":[98],"Crucially,":[99],"we":[100],"design":[101],"VIF-based":[103],"fast":[104,177],"forward":[105],"search":[106],"which":[110],"takes":[111],"into":[112],"account":[113],"cost":[115],"CNAs.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"significantly":[125],"shortened":[126],"905":[130],"seconds":[131],"(reduced":[132],"two-third),":[134],"slightly":[137],"improved":[138],"AUC":[139],"performance":[140],"0.9113":[142],"classifying":[144],"cognitively":[145],"normal":[146],"controls,":[147],"mild":[148],"impairments,":[150],"AD":[152],"patients":[153],"based":[154],"selected":[159],"combination":[160],"compared":[163],"their":[165],"involved":[166],"full":[167],"CNAs,":[168],"thereby":[169],"offering":[170],"promising":[171],"prospects":[172],"accurate":[174],"assessment":[178],"clinical":[180],"practice.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}