{"id":"https://openalex.org/W2763777037","doi":"https://doi.org/10.1109/cibcb.2017.8058528","title":"A multivariate feature selection framework for high dimensional biomedical data classification","display_name":"A multivariate feature selection framework for high dimensional biomedical data classification","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2763777037","doi":"https://doi.org/10.1109/cibcb.2017.8058528","mag":"2763777037"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2017.8058528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2017.8058528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024978316","display_name":"Abeer Alzubaidi","orcid":"https://orcid.org/0000-0002-5977-564X"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abeer Alzubaidi","raw_affiliation_strings":["School of Science and Technology, Nottingham Trent University, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Nottingham Trent University, Nottingham, UK","institution_ids":["https://openalex.org/I52590639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022173527","display_name":"Georgina Cosma","orcid":"https://orcid.org/0000-0002-4663-6907"},"institutions":[{"id":"https://openalex.org/I52590639","display_name":"Nottingham Trent University","ror":"https://ror.org/04xyxjd90","country_code":"GB","type":"education","lineage":["https://openalex.org/I52590639"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Georgina Cosma","raw_affiliation_strings":["School of Science and Technology, Nottingham Trent University, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Nottingham Trent University, Nottingham, UK","institution_ids":["https://openalex.org/I52590639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52590639"],"apc_list":null,"apc_paid":null,"fwci":1.8001,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85344603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9879000186920166,"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/feature-selection","display_name":"Feature selection","score":0.7336723804473877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719898521900177},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7114543914794922},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5938882827758789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211839079856873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4461035132408142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4293041229248047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42874929308891296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27169060707092285}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7336723804473877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719898521900177},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7114543914794922},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5938882827758789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211839079856873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4461035132408142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4293041229248047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42874929308891296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27169060707092285},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cibcb.2017.8058528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2017.8058528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:irep.ntu.ac.uk:31986","is_oa":false,"landing_page_url":"http://irep.ntu.ac.uk/id/eprint/31986/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"},{"id":"https://openalex.org/F4320322727","display_name":"Minist\u00e8re de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","ror":"https://ror.org/03sjk9a61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W125955014","https://openalex.org/W1506806321","https://openalex.org/W1538776335","https://openalex.org/W1541288193","https://openalex.org/W1606544556","https://openalex.org/W1661871015","https://openalex.org/W2002979815","https://openalex.org/W2004338242","https://openalex.org/W2026535637","https://openalex.org/W2040842850","https://openalex.org/W2049701820","https://openalex.org/W2087684630","https://openalex.org/W2088851040","https://openalex.org/W2093799708","https://openalex.org/W2097485241","https://openalex.org/W2097571405","https://openalex.org/W2100253618","https://openalex.org/W2103868202","https://openalex.org/W2109363337","https://openalex.org/W2119387367","https://openalex.org/W2138153039","https://openalex.org/W2146889962","https://openalex.org/W2154053567","https://openalex.org/W2167101736","https://openalex.org/W2188829774","https://openalex.org/W2213626371","https://openalex.org/W2515764746","https://openalex.org/W2949417153","https://openalex.org/W4205687621","https://openalex.org/W6687922278"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4390961098","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1570805059","https://openalex.org/W2357266745","https://openalex.org/W1578824628","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"High":[0],"dimensional":[1,21,52,86,169],"biomedical":[2,87,170],"data":[3,22],"are":[4,151],"becoming":[5],"common":[6],"in":[7],"various":[8],"predictive":[9,69,143],"models":[10,83],"developed":[11],"for":[12,38,66,80,84,136,182],"disease":[13],"diagnosis":[14],"and":[15,30,54,119,128,141,174],"prognosis.":[16],"Extracting":[17],"knowledge":[18],"from":[19],"high":[20,51,85,168],"which":[23,76,101,111,147,187],"contain":[24],"a":[25,31,74,159],"large":[26],"number":[27],"of":[28,64,93,134],"features":[29,65,127,135,156],"small":[32],"sample":[33],"size":[34],"presents":[35],"intrinsic":[36],"challenges":[37],"classification":[39,56,139,189],"models.":[40,70],"Genetic":[41,121],"Algorithms":[42],"can":[43,58,77],"be":[44,59,78],"successfully":[45],"adopted":[46,79],"to":[47,61,123,157],"efficiently":[48],"search":[49],"through":[50],"spaces,":[53],"multivariate":[55,115,184],"methods":[57],"utilized":[60],"evaluate":[62,124],"combinations":[63],"constructing":[67],"optimized":[68],"This":[71],"paper":[72],"proposes":[73],"framework":[75,91],"building":[81],"prediction":[82,161],"data.":[88,176],"The":[89,97,177],"proposed":[90],"comprises":[92],"three":[94],"main":[95],"phases.":[96],"feature":[98,108],"filtering":[99],"phase":[100,110,145],"filters":[102],"out":[103],"the":[104,107,120,125,130,142,154,183],"noisy":[105],"features;":[106],"selection":[109,185],"is":[112],"based":[113,191],"on":[114,153,192],"machine":[116,148],"learning":[117,149],"techniques":[118],"Algorithm":[122],"filtered":[126],"select":[129],"most":[131],"informative":[132],"subsets":[133],"achieving":[137],"maximum":[138],"performance;":[140],"modeling":[144],"during":[146],"algorithms":[150],"trained":[152],"selected":[155],"construct":[158],"reliable":[160],"model.":[162],"Experiments":[163],"were":[164],"conducted":[165],"using":[166],"four":[167],"datasets":[171],"including":[172],"protein":[173],"geneexpression":[175],"results":[178],"revealed":[179],"optimistic":[180],"performances":[181],"approaches":[186],"utilize":[188],"measurements":[190],"implicit":[193],"assumptions.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}