{"id":"https://openalex.org/W4406460380","doi":"https://doi.org/10.1109/bigdata62323.2024.10825608","title":"Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge Graphs","display_name":"Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge Graphs","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460380","doi":"https://doi.org/10.1109/bigdata62323.2024.10825608"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825608","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 Big Data (BigData)","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/A5076967964","display_name":"Duy H. Ho","orcid":"https://orcid.org/0000-0002-3368-9778"},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Duy H. Ho","raw_affiliation_strings":["California State University Fullerton,Computer Science,Fullerton,USA"],"affiliations":[{"raw_affiliation_string":"California State University Fullerton,Computer Science,Fullerton,USA","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110540262","display_name":"Udiptaman Das","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Udiptaman Das","raw_affiliation_strings":["University of Missouri-Kansas City,Computer Science,Kansas City,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City,Computer Science,Kansas City,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064911124","display_name":"Robert Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Regina Ho","raw_affiliation_strings":["University of Missouri-Kansas City,Computer Science,Kansas City,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City,Computer Science,Kansas City,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007672179","display_name":"Yugyung Lee","orcid":"https://orcid.org/0000-0002-1619-1695"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yugyung Lee","raw_affiliation_strings":["University of Missouri-Kansas City,Computer Science,Kansas City,USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri-Kansas City,Computer Science,Kansas City,USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076967964"],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":null,"apc_paid":null,"fwci":0.7724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78664892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3401","last_page":"3410"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962999820709229,"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9951000213623047,"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/computer-science","display_name":"Computer science","score":0.8112226724624634},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5893450379371643},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3782002627849579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3660973906517029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112226724624634},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5893450379371643},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3782002627849579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3660973906517029}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825608","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 Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W3003265726","https://openalex.org/W4249737354","https://openalex.org/W4292779060","https://openalex.org/W4388601256","https://openalex.org/W4393212122","https://openalex.org/W4398184761","https://openalex.org/W4401023556","https://openalex.org/W4402671243","https://openalex.org/W4403147580","https://openalex.org/W4403577869","https://openalex.org/W4403755038","https://openalex.org/W4404783689","https://openalex.org/W4405271266","https://openalex.org/W4405920904","https://openalex.org/W6778883912","https://openalex.org/W6862649886","https://openalex.org/W6873265916"],"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/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,8,14,131],"novel":[4],"framework":[5,43],"for":[6,78,134],"constructing":[7],"diabetes-specific":[9],"knowledge":[10,128],"graph":[11],"(KG)":[12],"using":[13,76,97],"streamlined":[15],"multi-agent":[16],"system":[17],"powered":[18],"by":[19,35],"Gemini-based":[20],"Large":[21],"Language":[22],"Models":[23],"(LLMs).":[24],"Leveraging":[25],"insights":[26],"from":[27,64],"the":[28,36,42,65,70,118],"2016":[29],"National":[30,37],"Diabetes":[31,38],"Survey":[32],"(NNDS)":[33],"conducted":[34],"Education":[39],"Program":[40],"(NDEP),":[41],"extracts":[44],"critical":[45],"variables":[46,92],"related":[47],"to":[48],"diagnosis,":[49],"risk":[50],"perception,":[51],"medical":[52,81],"advice,":[53],"and":[54,95,100,114,125,138],"self-management":[55],"practices":[56],"across":[57],"diverse":[58],"U.S.":[59],"populations.":[60],"By":[61],"processing":[62],"data":[63],"NNDS\u2019s":[66],"extensive":[67],"94-question":[68],"survey,":[69],"methodology":[71],"performs":[72],"adaptive":[73],"ontology":[74,108],"mapping":[75],"APIs":[77],"six":[79],"major":[80],"standards":[82],"(e.g.,":[83],"SNOMED":[84],"CT,":[85],"ICD-11),":[86],"ensuring":[87],"semantic":[88],"interoperability.":[89],"Relationships":[90],"between":[91],"are":[93],"identified":[94],"structured":[96],"RDF,":[98],"RDFS,":[99],"OWL":[101],"standards.":[102],"The":[103],"integration":[104],"of":[105],"LLMs":[106],"with":[107],"tools":[109],"like":[110],"Prot\u00e9g\u00e9":[111],"enhances":[112],"automation":[113],"scalability.":[115],"Results":[116],"demonstrate":[117],"framework\u2019s":[119],"effectiveness":[120],"in":[121],"generating":[122],"contextually":[123],"rich":[124],"clinically":[126],"relevant":[127],"graphs,":[129],"providing":[130],"robust":[132],"foundation":[133],"advancing":[135],"healthcare":[136],"informatics":[137],"personalized":[139],"diabetes":[140],"management.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}