{"id":"https://openalex.org/W4405271266","doi":"https://doi.org/10.1109/bsn63547.2024.10780466","title":"Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis","display_name":"Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4405271266","doi":"https://doi.org/10.1109/bsn63547.2024.10780466"},"language":"en","primary_location":{"id":"doi:10.1109/bsn63547.2024.10780466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","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/A5025894950","display_name":"Ajan Subramanian","orcid":"https://orcid.org/0000-0003-3253-1300"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajan Subramanian","raw_affiliation_strings":["University of California,Dept. of Computer Science,Irvine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Dept. of Computer Science,Irvine","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013382897","display_name":"Zhongqi Yang","orcid":"https://orcid.org/0000-0002-4196-0652"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongqi Yang","raw_affiliation_strings":["University of California,Dept. of Computer Science,Irvine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Dept. of Computer Science,Irvine","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084047638","display_name":"Iman Azimi","orcid":"https://orcid.org/0000-0001-5003-299X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iman Azimi","raw_affiliation_strings":["University of California,Dept. of Computer Science,Irvine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Dept. of Computer Science,Irvine","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018179894","display_name":"Amir M. Rahmani","orcid":"https://orcid.org/0000-0002-7408-7992"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir M. Rahmani","raw_affiliation_strings":["University of California,Dept. of Computer Science,Irvine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Dept. of Computer Science,Irvine","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9581999778747559,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9581999778747559,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.925599992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5037564635276794},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.49794721603393555},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.480699360370636},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3596263527870178},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3403841257095337},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20068064332008362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5037564635276794},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.49794721603393555},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.480699360370636},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3596263527870178},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3403841257095337},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20068064332008362},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn63547.2024.10780466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2802769465","https://openalex.org/W4312373350","https://openalex.org/W4323350039","https://openalex.org/W4366769280","https://openalex.org/W4386727350","https://openalex.org/W4389230857","https://openalex.org/W4392362441","https://openalex.org/W4393237312","https://openalex.org/W4393327656","https://openalex.org/W6777615688","https://openalex.org/W6810405336","https://openalex.org/W6853966624","https://openalex.org/W6856204436"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166"],"abstract_inverted_index":{"Health":[0],"monitoring":[1],"systems":[2],"have":[3],"revolutionized":[4],"mod-ern":[5],"healthcare":[6],"by":[7],"enabling":[8],"the":[9,53,94,106,143,147,166],"continuous":[10],"capture":[11],"of":[12,98,127,149],"physio-logical":[13],"and":[14,21,46,66,78,96,110,155,172],"behavioral":[15],"data,":[16],"essential":[17],"for":[18,168],"preventive":[19],"measures":[20],"early":[22],"intervention.":[23],"Integrating":[24],"this":[25,128],"data":[26,56,82],"with":[27,116,180],"Large":[28],"Lan-guage":[29],"Models":[30],"(LLMs)":[31],"shows":[32],"promise":[33],"in":[34,186],"delivering":[35],"interactive":[36],"health":[37,68,81,99,157],"advice,":[38],"but":[39],"traditional":[40],"methods":[41],"like":[42],"Retrieval-Augmented":[43],"Generation":[44],"(RAG)":[45],"fine-tuning":[47],"often":[48],"fail":[49],"to":[50,71,75,92,152,164,195],"fully":[51],"utilize":[52],"complex,":[54],"multi-dimensional":[55],"from":[57,120],"wearable":[58],"devices.":[59],"These":[60],"approaches":[61],"typically":[62],"provide":[63],"limited":[64],"actionable":[65,154],"personalized":[67,156],"insights":[69,158,167],"due":[70],"their":[72],"inadequate":[73],"capacity":[74],"dynamically":[76],"integrate":[77],"interpret":[79],"diverse":[80],"streams.":[83],"This":[84],"pa-per":[85],"introduces":[86],"a":[87,102,121,133,196],"graph-augmented":[88],"LLM":[89,114,163],"framework":[90,107,182],"designed":[91],"enhance":[93],"personalization":[95],"clarity":[97],"insights.":[100],"Utilizing":[101],"hierarchical":[103],"graph":[104],"structure,":[105],"captures":[108],"inter":[109],"intra-patient":[111],"relationships,":[112],"enriching":[113],"prompts":[115,179],"feature":[117],"importance":[118],"scores":[119],"Random":[122],"Forest":[123],"Model.":[124],"The":[125],"effectiveness":[126],"approach":[129],"is":[130],"demonstrated":[131],"through":[132],"sleep":[134],"analysis":[135],"case":[136],"study":[137],"involving":[138],"20":[139],"college":[140],"students":[141],"during":[142],"COVID-19":[144],"lockdown,":[145],"highlighting":[146],"potential":[148],"our":[150,181],"model":[151],"generate":[153],"efficiently.":[159],"We":[160],"leverage":[161],"another":[162],"evaluate":[165],"relevance,":[169],"comprehensiveness,":[170],"actionability,":[171],"personalization.":[173],"Our":[174],"findings":[175],"show":[176],"that":[177],"augmenting":[178],"yields":[183],"significant":[184],"improvements":[185],"all":[187],"four":[188],"criteria,":[189],"eliciting":[190],"well-crafted,":[191],"thoughtful":[192],"responses":[193],"tailored":[194],"specific":[197],"patient.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
