{"id":"https://openalex.org/W4406271401","doi":"https://doi.org/10.1109/bibm62325.2024.10822178","title":"Towards the Design, Quality Assessment and Explainability of Synthetic Tabular Data Generation Techniques for Metabolic Syndrome Diagnosis","display_name":"Towards the Design, Quality Assessment and Explainability of Synthetic Tabular Data Generation Techniques for Metabolic Syndrome Diagnosis","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271401","doi":"https://doi.org/10.1109/bibm62325.2024.10822178"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5038856384","display_name":"Diana Manjarr\u00e9s","orcid":"https://orcid.org/0000-0001-5656-9042"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diana Manjarr\u00e9s","raw_affiliation_strings":["TECNALIA, Member of the Basque Research &#x0026; Technology Alliance (BRTA),Derio,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TECNALIA, Member of the Basque Research &#x0026; Technology Alliance (BRTA),Derio,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019714754","display_name":"Bego\u00f1a Ispizua","orcid":"https://orcid.org/0000-0002-6789-7866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bego\u00f1a Ispizua","raw_affiliation_strings":["TECNALIA, Member of the Basque Research &#x0026; Technology Alliance (BRTA),Derio,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TECNALIA, Member of the Basque Research &#x0026; Technology Alliance (BRTA),Derio,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061990590","display_name":"Iratxe Ni\u00f1o-Adan","orcid":"https://orcid.org/0000-0001-9581-0740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iratxe Ni\u00f1o-Adan","raw_affiliation_strings":["Fundaci&#x00F3;n Sarenet,Zamudio,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fundaci&#x00F3;n Sarenet,Zamudio,Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5009","last_page":"5015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9207000136375427,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9207000136375427,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6308892369270325},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6166418790817261},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4796486496925354},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.35753577947616577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34488850831985474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17027682065963745},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.13951310515403748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308892369270325},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6166418790817261},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4796486496925354},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.35753577947616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34488850831985474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17027682065963745},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.13951310515403748},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:dsp.tecnalia.com:11556/5697","is_oa":false,"landing_page_url":"https://hdl.handle.net/11556/5697","pdf_url":null,"source":{"id":"https://openalex.org/S4306402037","display_name":"TECNALIA Publications (Fundaci\u00f3n TECNALIA Research & Innovation)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210113430","host_organization_name":"Tecnalia","host_organization_lineage":["https://openalex.org/I4210113430"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference output"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964874140","https://openalex.org/W2022306762","https://openalex.org/W2091258584","https://openalex.org/W2091741434","https://openalex.org/W2103380947","https://openalex.org/W2115627867","https://openalex.org/W2942462209","https://openalex.org/W3022298391","https://openalex.org/W3092861045","https://openalex.org/W3163167541","https://openalex.org/W3167275459","https://openalex.org/W3173826379","https://openalex.org/W4220835245","https://openalex.org/W4224022798","https://openalex.org/W4255240758","https://openalex.org/W4293215418","https://openalex.org/W4298680860","https://openalex.org/W4323058961","https://openalex.org/W4390992103","https://openalex.org/W4399891569","https://openalex.org/W6678815747","https://openalex.org/W6689047571"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W1963988314","https://openalex.org/W1924500548"],"abstract_inverted_index":{"In":[0],"last":[1],"years":[2],"decision-making":[3],"Machine":[4],"Leaning":[5],"(ML)":[6],"approaches":[7],"have":[8,37],"evolved":[9],"from":[10],"traditional":[11],"methods":[12],"to":[13],"evidence-based":[14],"approaches,":[15],"particularly":[16],"in":[17,51,55],"healthcare":[18],"sector.":[19],"However,":[20],"sharing":[21,59],"data":[22,39,43,47,58,91,110],"with":[23],"third":[24],"parties":[25],"raises":[26],"significant":[27,81],"security":[28],"and":[29,45,86,121],"privacy":[30],"concerns.":[31],"To":[32],"address":[33],"these":[34],"issues,":[35],"researchers":[36],"explored":[38],"anonymization,":[40],"distributed":[41],"privacypreserving":[42],"mining,":[44],"synthetic":[46,89,109],"generation":[48,92],"(SDG).":[49],"SDG,":[50],"particular,":[52],"shows":[53],"promise":[54],"enabling":[56],"secure":[57],"while":[60],"preserving":[61],"privacy,":[62],"crucial":[63],"for":[64,102],"developing":[65],"advanced":[66],"AI":[67],"models.":[68],"This":[69],"paper":[70],"focuses":[71],"on":[72],"Metabolic":[73],"Syndrome":[74],"(MetS)":[75],"data,":[76],"a":[77,80,113],"condition":[78],"affecting":[79],"portion":[82],"of":[83,98,108,125],"the":[84,96,126],"population,":[85],"investigates":[87],"various":[88],"tabular":[90],"(STDG)techniques.":[93],"It":[94],"evaluates":[95],"performance":[97],"an":[99,119],"AutoML":[100],"approach":[101],"predicting":[103],"MetS":[104],"using":[105],"different":[106],"percentages":[107],"assessed":[111],"through":[112],"specific":[114],"evaluation":[115],"framework.":[116],"Moreover,":[117],"presents":[118],"explainability":[120],"feature":[122],"relevance":[123],"analysis":[124],"proposed":[127],"STDG":[128],"methods.":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
