{"id":"https://openalex.org/W4406259705","doi":"https://doi.org/10.1109/bibm62325.2024.10821742","title":"Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot","display_name":"Comparative analysis of diabetes diagnosis: WE-LSTM networks and WizardLM-powered DiabeTalk chatbot","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406259705","doi":"https://doi.org/10.1109/bibm62325.2024.10821742"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10821742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821742","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/A5072951301","display_name":"Domenico Rossi","orcid":"https://orcid.org/0000-0002-2554-5088"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Rossi","raw_affiliation_strings":["University of Salerno,Department of Computer Science,Fisciano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Computer Science,Fisciano,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040887693","display_name":"Alessia Auriemma Citarella","orcid":"https://orcid.org/0000-0002-6525-0217"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia Auriemma Citarella","raw_affiliation_strings":["University of Salerno,Department of Computer Science,Fisciano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Computer Science,Fisciano,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044061604","display_name":"Fabiola De Marco","orcid":"https://orcid.org/0000-0003-4285-9502"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabiola De Marco","raw_affiliation_strings":["University of Salerno,Department of Computer Science,Fisciano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Computer Science,Fisciano,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077768428","display_name":"Luigi Di Biasi","orcid":"https://orcid.org/0000-0002-9583-6681"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Di Biasi","raw_affiliation_strings":["University of Salerno,Department of Computer Science,Fisciano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Computer Science,Fisciano,Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074856207","display_name":"Genoveffa Tortora","orcid":"https://orcid.org/0000-0003-4765-8371"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Genoveffa Tortora","raw_affiliation_strings":["University of Salerno,Department of Computer Science,Fisciano,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Salerno,Department of Computer Science,Fisciano,Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":3.3346,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93695949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6859","last_page":"6866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8988000154495239,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8988000154495239,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.8199095129966736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7670541405677795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.463569700717926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36930662393569946},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33287733793258667}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.8199095129966736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670541405677795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.463569700717926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36930662393569946},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33287733793258667}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm62325.2024.10821742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10821742","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:repository.hkust.edu.hk:1783.1-166039","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-166039","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W44929223","https://openalex.org/W1966299956","https://openalex.org/W2577646479","https://openalex.org/W2736029153","https://openalex.org/W2765488845","https://openalex.org/W2796755741","https://openalex.org/W2885195348","https://openalex.org/W2889751329","https://openalex.org/W2966351171","https://openalex.org/W3028999579","https://openalex.org/W3116977398","https://openalex.org/W3144293453","https://openalex.org/W4386953188","https://openalex.org/W4387950964","https://openalex.org/W4388376534","https://openalex.org/W4390970471","https://openalex.org/W4391188276","https://openalex.org/W4391855109","https://openalex.org/W4400324908","https://openalex.org/W4401000066","https://openalex.org/W4401056155","https://openalex.org/W4401387809","https://openalex.org/W6852043138"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Diabetes":[0],"is":[1,42],"a":[2,100,114,159,204],"chronic":[3],"metabolic":[4],"disorder":[5],"characterized":[6],"by":[7],"elevated":[8],"blood":[9],"glucose":[10],"levels":[11],"due":[12],"to":[13,48,91,122,154,181,187,217,236],"insufficient":[14],"insulin":[15,18],"production":[16],"or":[17],"resistance.":[19],"It":[20],"primarily":[21],"manifests":[22],"in":[23,34,66,158,195],"two":[24,69],"forms:":[25],"Type":[26,38],"1":[27],"diabetes,":[28,40],"an":[29],"autoimmune":[30],"condition":[31],"typically":[32],"diagnosed":[33],"younger":[35],"individuals,":[36],"and":[37,45,54,95,103,126,178,185],"2":[39],"which":[41,214],"more":[43,101],"prevalent":[44],"often":[46],"linked":[47],"lifestyle":[49],"factors":[50],"such":[51],"as":[52],"obesity":[53],"inactivity.":[55],"This":[56],"study":[57,111],"evaluates":[58],"the":[59,68,88,118,132,167,191,201,208,225],"performance":[60,157,206],"of":[61,71,169,227],"Long":[62],"Short-Term":[63],"Memory":[64],"networks":[65],"diagnosing":[67],"types":[70],"diabetes":[72,129,183],"from":[73],"Italian":[74],"medical":[75],"text":[76,93],"across":[77],"four":[78],"progressively":[79],"refined":[80,102],"pre-processing":[81],"scenarios.":[82],"Each":[83],"scenario":[84],"incrementally":[85],"builds":[86],"on":[87,117,149,232],"previous":[89],"one":[90],"enhance":[92,237],"cleaning":[94],"data":[96,105],"preparation,":[97],"allowing":[98,152],"for":[99,128],"effective":[104],"processing":[106],"pipeline.":[107],"In":[108],"parallel,":[109],"this":[110],"introduces":[112],"DiabeTalk,":[113],"chatbot":[115,202],"developed":[116],"WizardLM":[119],"model,":[120,213],"designed":[121],"provide":[123],"specialized":[124],"advice":[125],"support":[127],"diagnosis.":[130],"While":[131],"WE-long":[133,209],"short":[134,210],"term":[135,211],"memory":[136,212],"models":[137,231],"were":[138],"fine-tuned":[139],"with":[140,200],"clinical":[141,150,234],"data,":[142],"DiabeTalk":[143,172],"was":[144,215],"tested":[145],"without":[146],"prior":[147],"training":[148,228],"diaries,":[151],"us":[153],"evaluate":[155],"its":[156],"real-world":[160],"context.":[161],"The":[162,222],"results":[163],"indicate":[164],"that,":[165],"despite":[166],"lack":[168],"domain-specific":[170],"pre-training,":[171],"effectively":[173],"employs":[174],"natural":[175],"language":[176,230],"understanding":[177],"decision-making":[179],"algorithms":[180],"predict":[182],"type":[184],"respond":[186],"user":[188],"inquiries.":[189],"However,":[190],"testing":[192],"revealed":[193],"limitations":[194],"accuracy":[196],"(77.56%":[197],"versus":[198],"97.80%),":[199],"achieving":[203],"lower":[205],"than":[207],"applied":[216],"minimally":[218],"pre-processed":[219],"raw":[220],"data.":[221],"findings":[223],"underscore":[224],"importance":[226],"large":[229],"relevant":[233],"datasets":[235],"their":[238],"response":[239],"capabilities.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
