{"id":"https://openalex.org/W3110522452","doi":"https://doi.org/10.1186/s40537-020-00385-8","title":"Stable bagging feature selection on medical data","display_name":"Stable bagging feature selection on medical data","publication_year":2021,"publication_date":"2021-01-07","ids":{"openalex":"https://openalex.org/W3110522452","doi":"https://doi.org/10.1186/s40537-020-00385-8","mag":"3110522452"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00385-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00385-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00385-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00385-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017223156","display_name":"Salem Alelyani","orcid":"https://orcid.org/0000-0002-4571-9073"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Salem Alelyani","raw_affiliation_strings":["Department of Computer Science, Center for Artificial Intelligence, King Khalid University, P.O. Box 9004, Abha, 61413, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-4571-9073","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Center for Artificial Intelligence, King Khalid University, P.O. Box 9004, Abha, 61413, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017223156"],"corresponding_institution_ids":["https://openalex.org/I82952536"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":4.0755,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.95480329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9973000288009644,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7595838308334351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102138996124268},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6706838607788086},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.641209602355957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5855550765991211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5714564919471741},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5378918051719666},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5294102430343628},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5240535736083984},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5217688679695129},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5211332440376282},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.476641982793808},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4541976749897003},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44382476806640625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4114741086959839},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18040767312049866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1521838903427124}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7595838308334351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102138996124268},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6706838607788086},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.641209602355957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855550765991211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5714564919471741},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5378918051719666},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5294102430343628},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5240535736083984},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5217688679695129},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5211332440376282},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.476641982793808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4541976749897003},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44382476806640625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114741086959839},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18040767312049866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1521838903427124},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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":2,"locations":[{"id":"doi:10.1186/s40537-020-00385-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00385-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00385-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d79c19c80c734f5dbaf23ad643a2b8dd","is_oa":true,"landing_page_url":"https://doaj.org/article/d79c19c80c734f5dbaf23ad643a2b8dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 8, Iss 1, Pp 1-18 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00385-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00385-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00385-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1448457493","display_name":null,"funder_award_id":"R.G.P2","funder_id":"https://openalex.org/F4320324433","funder_display_name":"King Khalid University"},{"id":"https://openalex.org/G5979484701","display_name":null,"funder_award_id":"R.G.P.2/100/41","funder_id":"https://openalex.org/F4320324433","funder_display_name":"King Khalid University"}],"funders":[{"id":"https://openalex.org/F4320324433","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110522452.pdf","grobid_xml":"https://content.openalex.org/works/W3110522452.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W84419471","https://openalex.org/W144440563","https://openalex.org/W572368116","https://openalex.org/W1483822252","https://openalex.org/W1489381599","https://openalex.org/W1494978934","https://openalex.org/W1500895378","https://openalex.org/W1516358642","https://openalex.org/W1520790182","https://openalex.org/W1570448133","https://openalex.org/W1586444875","https://openalex.org/W1596717185","https://openalex.org/W1619226191","https://openalex.org/W1661871015","https://openalex.org/W1680392829","https://openalex.org/W1749992802","https://openalex.org/W1808644423","https://openalex.org/W1960210438","https://openalex.org/W1973714356","https://openalex.org/W1984026144","https://openalex.org/W1988746684","https://openalex.org/W2032909675","https://openalex.org/W2038894244","https://openalex.org/W2043494771","https://openalex.org/W2044098745","https://openalex.org/W2053186076","https://openalex.org/W2096467860","https://openalex.org/W2099111195","https://openalex.org/W2099322651","https://openalex.org/W2101267652","https://openalex.org/W2103333826","https://openalex.org/W2106398669","https://openalex.org/W2109293916","https://openalex.org/W2115684345","https://openalex.org/W2115729631","https://openalex.org/W2117004913","https://openalex.org/W2119387367","https://openalex.org/W2128728535","https://openalex.org/W2129151899","https://openalex.org/W2142594886","https://openalex.org/W2143426320","https://openalex.org/W2144073719","https://openalex.org/W2149684865","https://openalex.org/W2151990594","https://openalex.org/W2153922613","https://openalex.org/W2165250079","https://openalex.org/W2165374837","https://openalex.org/W2165432359","https://openalex.org/W2398336627","https://openalex.org/W2503225714","https://openalex.org/W2520016231","https://openalex.org/W2587862394","https://openalex.org/W2761905849","https://openalex.org/W2791622665","https://openalex.org/W2792548789","https://openalex.org/W2793070660","https://openalex.org/W2906662890","https://openalex.org/W2910010166","https://openalex.org/W2912934387","https://openalex.org/W2913705621","https://openalex.org/W2916168844","https://openalex.org/W2950851375","https://openalex.org/W4285719527","https://openalex.org/W4289236186","https://openalex.org/W6600186770","https://openalex.org/W6600492789","https://openalex.org/W6632602330","https://openalex.org/W6674952872","https://openalex.org/W6754690385","https://openalex.org/W6773189689"],"related_works":["https://openalex.org/W2083247026","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W20047544"],"abstract_inverted_index":{"Abstract":[0],"In":[1,152],"the":[2,52,66,88,102,117,132,162,227,245,249,262,272],"medical":[3,32,94,171],"field,":[4],"distinguishing":[5],"genes":[6,57],"that":[7,73,145,244],"are":[8,34],"relevant":[9,98],"to":[10,20,64,75,87,96,106,140,165,207,236,254],"a":[11,22,60,71,93,107,113,121,126,217],"specific":[12],"disease,":[13],"let\u2019s":[14],"say":[15,65],"colon":[16],"cancer,":[17],"is":[18,70,129,137,259],"crucial":[19],"finding":[21],"cure":[23],"and":[24,28,192],"understanding":[25],"its":[26],"causes":[27],"subsequent":[29],"complications.":[30],"Usually,":[31],"datasets":[33,172,184],"comprised":[35],"of":[36,54,110,186,211,247,264,275],"immensely":[37],"complex":[38],"dimensions":[39],"with":[40,85,112,261],"considerably":[41],"small":[42,114,194],"sample":[43,115,128,195],"size.":[44,196],"Thus,":[45],"for":[46],"domain":[47],"experts,":[48],"such":[49],"as":[50],"biologists,":[51],"task":[53],"identifying":[55],"these":[56,77],"have":[58],"become":[59],"very":[61],"challenging":[62],"one,":[63],"least.":[67],"Feature":[68],"selection":[69,118,135,150,168,205,221],"technique":[72,164,215],"aims":[74],"select":[76,208],"genes,":[78],"or":[79],"features":[80,99,111,251],"in":[81,170,220,239,267],"machine":[82],"learning":[83,91],"field":[84],"respect":[86],"disease.":[89],"However,":[90],"from":[92,101,189,234],"dataset":[95],"identify":[97],"suffers":[100,188],"curse-of-dimensionality":[103],".":[104],"Due":[105],"large":[108],"number":[109,210],"size,":[116],"usually":[119],"returns":[120],"different":[122],"subset":[123],"each":[124,185,198],"time":[125],"new":[127],"introduced":[130],"into":[131],"dataset.":[133],"This":[134,242,258],"instability":[136],"intrinsically":[138],"related":[139],"data":[141,147,174],"variance.":[142],"We":[143,177],"assume":[144],"reducing":[146],"variance":[148,175],"improves":[149],"stability.":[151,276],"this":[153],"paper,":[154],"we":[155,200],"propose":[156],"an":[157,179],"ensemble":[158],"approach":[159],"based":[160],"on":[161],"bagging":[163],"improve":[166],"feature":[167,204],"stability":[169,222,231],"via":[173],"reduction.":[176],"conducted":[178],"experiment":[180],"using":[181],"four":[182],"microarray":[183],"which":[187,270],"high":[190],"dimensionality":[191],"relatively":[193],"On":[197],"dataset,":[199],"applied":[201],"five":[202],"well-known":[203],"algorithms":[206],"varying":[209],"features.":[212],"The":[213,230],"proposed":[214],"shows":[216],"significant":[218],"improvement":[219,232],"while":[223],"at":[224],"least":[225],"maintaining":[226],"classification":[228,265],"accuracy.":[229],"ranges":[233],"20":[235,253],"50":[237,255],"percent":[238,256],"all":[240],"cases.":[241],"implies":[243],"likelihood":[246],"selecting":[248],"same":[250],"increased":[252],"more.":[257],"accompanied":[260],"increase":[263],"accuracy":[266],"most":[268],"cases,":[269],"signifies":[271],"stated":[273],"results":[274]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}