{"id":"https://openalex.org/W4408092592","doi":"https://doi.org/10.1109/acai63924.2024.10899636","title":"A LLMs-Assisted Framework for Parkinson's Disease Assessment Based on PPMI Dataset","display_name":"A LLMs-Assisted Framework for Parkinson's Disease Assessment Based on PPMI Dataset","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4408092592","doi":"https://doi.org/10.1109/acai63924.2024.10899636"},"language":"en","primary_location":{"id":"doi:10.1109/acai63924.2024.10899636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acai63924.2024.10899636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)","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/A5064271365","display_name":"Zhenyu Gao","orcid":"https://orcid.org/0000-0003-4808-2511"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Gao","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060655029","display_name":"Qin Ni","orcid":"https://orcid.org/0000-0002-7352-5700"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Ni","raw_affiliation_strings":["Shanghai International Studies University,The Key Laboratory of Multilingual Education with AI,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai International Studies University,The Key Laboratory of Multilingual Education with AI,Shanghai,China","institution_ids":["https://openalex.org/I11406153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320339","display_name":"Wen Liu","orcid":"https://orcid.org/0000-0003-0532-9051"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Liu","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100509474","display_name":"Lei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Information Science and Technology, Donghua University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.7764000296592712,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.7764000296592712,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.563228964805603},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.520989716053009},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4758579134941101},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23524904251098633},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.0833568274974823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.563228964805603},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.520989716053009},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4758579134941101},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23524904251098633},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0833568274974823}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acai63924.2024.10899636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acai63924.2024.10899636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3970668718","display_name":null,"funder_award_id":"62371118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1988494453","https://openalex.org/W2114315281","https://openalex.org/W3037543796","https://openalex.org/W3160137267","https://openalex.org/W4206481149","https://openalex.org/W4237254037","https://openalex.org/W4381930847","https://openalex.org/W4384071683","https://openalex.org/W4384561707","https://openalex.org/W4386741020","https://openalex.org/W4392791500","https://openalex.org/W4400066777","https://openalex.org/W4406152279"],"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/W3134596587","https://openalex.org/W3216329096","https://openalex.org/W2416973532","https://openalex.org/W3116665257"],"abstract_inverted_index":{"The":[0,161],"assessment":[1],"of":[2,32,53,57,136,151,158],"diseases":[3],"such":[4],"as":[5,108],"Parkinson's":[6,73],"disease,":[7],"which":[8,175],"are":[9],"chronic":[10],"neurodegenerative":[11],"conditions,":[12],"is":[13,176],"an":[14],"extremely":[15],"complex":[16],"and":[17,46,64,132],"time-consuming":[18],"process.":[19],"Self-assessment":[20],"scales":[21],"or":[22],"interviews":[23],"in":[24,41,85],"the":[25,30,51,134,156,159,165,182],"outpatient":[26],"often":[27],"lead":[28],"to":[29,78,99,127,130,154,173,181],"loss":[31],"key":[33,58],"information.":[34],"Large":[35],"Language":[36],"Models":[37],"(LLMs)":[38],"show":[39],"abilities":[40],"capturing":[42],"subtle":[43],"linguistic":[44],"differences":[45],"handling":[47],"long":[48],"texts,":[49],"enabling":[50],"extraction":[52],"a":[54,83,109,148,177],"significant":[55],"amount":[56,150],"information":[59],"while":[60],"ensuring":[61],"data":[62,107,153],"integrity":[63],"user":[65],"privacy.":[66],"We":[67],"focus":[68],"attention":[69],"on":[70,147,167],"people":[71],"with":[72,95,123],"disease":[74],"(PwP).":[75],"In":[76],"response":[77],"these":[79],"issues,":[80],"we":[81,89,115,144],"propose":[82],"framework":[84],"this":[86,168],"paper.":[87],"Firstly,":[88],"use":[90],"large":[91,149],"language":[92],"model":[93],"(LLM)":[94],"chain-of-thought":[96],"(CoT)":[97],"prompt":[98],"rephrase":[100],"patient":[101],"self-report":[102],"texts":[103],"from":[104,120],"real-outpatient":[105],"structured":[106],"supervised":[110],"fine-tuning":[111],"(SFT)":[112],"corpus.":[113],"Secondly,":[114],"fine-tune":[116],"bidirectional":[117],"encoder":[118],"representation":[119],"transformers":[121],"(BERT)":[122],"Low-Rank":[124],"Adaptation":[125],"(LoRA)":[126],"enable":[128],"it":[129],"under-stand":[131],"extract":[133],"semanteme":[135],"self-report,":[137],"thus":[138],"predicting":[139],"each":[140],"MDS-UPDRS":[141],"item.":[142],"Finally,":[143],"designed":[145],"experiments":[146],"test":[152],"evaluate":[155],"effectiveness":[157],"framework.":[160],"results":[162],"indicate":[163],"that":[164],"accuracy":[166],"task":[169],"has":[170],"been":[171],"improved":[172],"95.36%,":[174],"6.7%":[178],"increase":[179],"compared":[180],"best-performing":[183],"model.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
