{"id":"https://openalex.org/W4313527432","doi":"https://doi.org/10.1109/bibm55620.2022.9994971","title":"Fuzzy kernel-free support vector machine and applications in medicine","display_name":"Fuzzy kernel-free support vector machine and applications in medicine","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527432","doi":"https://doi.org/10.1109/bibm55620.2022.9994971"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994971","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5083788556","display_name":"Ai-bing Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai-Bing Ji","raw_affiliation_strings":["Hebei University,College of Mathematics and Information Science,Baoding,China,071002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei University,College of Mathematics and Information Science,Baoding,China,071002","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103077082","display_name":"Bowen Wei","orcid":"https://orcid.org/0000-0001-8210-6551"},"institutions":[{"id":"https://openalex.org/I4210151161","display_name":"Baoding University","ror":"https://ror.org/04asgtj30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151161"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Wen Wei","raw_affiliation_strings":["College of Management,Baoding,China,071002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management,Baoding,China,071002","institution_ids":["https://openalex.org/I4210151161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103774971","display_name":"Ye Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098013","display_name":"Acuity Technologies (United States)","ror":"https://ror.org/00t9kp067","country_code":"US","type":"company","lineage":["https://openalex.org/I4210098013"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Ji","raw_affiliation_strings":["Acuity knowledge services,Beijing,China,10086"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acuity knowledge services,Beijing,China,10086","institution_ids":["https://openalex.org/I4210098013"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19553178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"290","issue":null,"first_page":"2624","last_page":"2631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9247999787330627,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9233999848365784,"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/support-vector-machine","display_name":"Support vector machine","score":0.7497451305389404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307886242866516},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.581430971622467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545840263366699},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5279608964920044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4538416564464569},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.42355653643608093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3341193199157715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1757703721523285}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7497451305389404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307886242866516},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.581430971622467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545840263366699},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5279608964920044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4538416564464569},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.42355653643608093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3341193199157715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1757703721523285},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9994971","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9994971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1987827662","https://openalex.org/W2022623999","https://openalex.org/W2063639589","https://openalex.org/W2076789096","https://openalex.org/W2098838282","https://openalex.org/W2156909104","https://openalex.org/W2330022088","https://openalex.org/W2493235117","https://openalex.org/W2558778539","https://openalex.org/W2888997571","https://openalex.org/W2922139951","https://openalex.org/W2963465735","https://openalex.org/W3017210342","https://openalex.org/W3095805331","https://openalex.org/W3111244757","https://openalex.org/W3134460536","https://openalex.org/W3143971390","https://openalex.org/W3156722117","https://openalex.org/W4212847198"],"related_works":["https://openalex.org/W2089892314","https://openalex.org/W1603091392","https://openalex.org/W4386075310","https://openalex.org/W2169565408","https://openalex.org/W2127229869","https://openalex.org/W3123056048","https://openalex.org/W2150638158","https://openalex.org/W2121506664","https://openalex.org/W2363184354","https://openalex.org/W2137862631"],"abstract_inverted_index":{"Classification":[0],"is":[1,58,68,81,89,95,105],"widely":[2],"used":[3,18,106],"in":[4,19,107],"healthcare":[5],"management.":[6],"Support":[7],"vector":[8,78],"machines":[9],"(SVMs),":[10],"as":[11],"an":[12],"important":[13],"classification":[14,22,113],"algorithm,":[15],"have":[16],"been":[17],"target":[20],"disease":[21],"and":[23,39,71,83,112],"prediction.":[24],"Considering":[25],"that":[26],"SVMs":[27],"are":[28],"highly":[29],"dependent":[30],"on":[31],"kernel":[32,38],"function":[33],"or":[34],"parameters":[35],"of":[36,64,86,110,114,124],"a":[37],"medical":[40],"data":[41],"uncertainty.":[42],"This":[43],"paper":[44],"extends":[45],"the":[46,53,56,84,87,98,108,122],"classical":[47],"kernel-free":[48,73],"quadratic":[49,75],"surface":[50,76],"SVM":[51],"to":[52],"case":[54],"where":[55],"dataset":[57],"fuzzy":[59,65,74,100],"samples":[60],"set.":[61,102],"A":[62,91],"concept":[63],"quadratically":[66],"separable":[67],"first":[69],"introduced,":[70],"then":[72],"support":[77],"machine":[79],"(FQSSVM)":[80],"proposed,":[82],"algorithm":[85,94],"FQSSVM":[88,93,104],"given.":[90],"two-stage":[92],"provided":[96],"for":[97],"unbalanced":[99],"sample":[101],"Finally,":[103],"diagnosis":[109],"coronary":[111],"Haberman\u2019s":[115],"Survival":[116],"Data.":[117],"The":[118],"actual":[119],"applications":[120],"verify":[121],"performance":[123],"our":[125],"proposed":[126],"model.":[127]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
