{"id":"https://openalex.org/W7167203003","doi":"https://doi.org/10.1109/icesst69086.2026.11582852","title":"A Multimodal Framework for Parkinson's Disease Detection Using Image, Audio, and Clinical Data","display_name":"A Multimodal Framework for Parkinson's Disease Detection Using Image, Audio, and Clinical Data","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7167203003","doi":"https://doi.org/10.1109/icesst69086.2026.11582852"},"language":"en","primary_location":{"id":"doi:10.1109/icesst69086.2026.11582852","doi":"https://doi.org/10.1109/icesst69086.2026.11582852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icesst69086.2026.11582852","pdf_url":null,"source":{"id":"https://openalex.org/S7407106691","display_name":"IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icesst69086.2026.11582852","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011368722","display_name":"Archana Yashodhar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4403928307","display_name":"St. Aloysius (Deemed to Be University)","ror":"https://ror.org/05aba1p21","country_code":"IN","type":"education","lineage":["https://openalex.org/I4403928307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Archana Yashodhar","raw_affiliation_strings":["St Aloysius Deemed to be University,Dept of Computer Science & Application,Mangaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St Aloysius Deemed to be University,Dept of Computer Science & Application,Mangaluru,India","institution_ids":["https://openalex.org/I4403928307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000097663","display_name":"Shashidhar Kini K","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405252405","display_name":"Srinivas University","ror":"https://ror.org/019qzkn95","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405252405"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashidhar Kini","raw_affiliation_strings":["Srinivas Institute of Technology,Dept of Master of Computer Application,Mangaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Srinivas Institute of Technology,Dept of Master of Computer Application,Mangaluru,India","institution_ids":["https://openalex.org/I4405252405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8173999786376953,"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":0.8173999786376953,"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"}},{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.09960000216960907,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.022600000724196434,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical 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/parkinson-s-disease-detection","display_name":"Parkinson's disease detection","score":0.8999999761581421},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.7260000109672546},{"id":"https://openalex.org/keywords/motor-abnormalities","display_name":"motor abnormalities","score":0.6330000162124634},{"id":"https://openalex.org/keywords/voice-analysis","display_name":"voice analysis","score":0.7239999771118164},{"id":"https://openalex.org/keywords/jitter-and-shimmer","display_name":"jitter and shimmer","score":0.8799999952316284},{"id":"https://openalex.org/keywords/speech-features","display_name":"speech features","score":0.5860000252723694},{"id":"https://openalex.org/keywords/clinical-measurement","display_name":"clinical measurement","score":0.7670000195503235},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7379999756813049},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.6129999756813049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5501000285148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49880000948905945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30970001220703125},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24469999969005585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icesst69086.2026.11582852","doi":"https://doi.org/10.1109/icesst69086.2026.11582852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icesst69086.2026.11582852","pdf_url":null,"source":{"id":"https://openalex.org/S7407106691","display_name":"IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icesst69086.2026.11582852","doi":"https://doi.org/10.1109/icesst69086.2026.11582852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icesst69086.2026.11582852","pdf_url":null,"source":{"id":"https://openalex.org/S7407106691","display_name":"IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Emerging Synergy Science and Technology (ICESST)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.9537000060081482,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2028166334","https://openalex.org/W2097117768","https://openalex.org/W2258473744","https://openalex.org/W4296363319","https://openalex.org/W4317790288","https://openalex.org/W4394814276","https://openalex.org/W4407857534","https://openalex.org/W4410375033","https://openalex.org/W7164495074"],"related_works":["https://openalex.org/W7203653777","https://openalex.org/W7155212232","https://openalex.org/W4414400843","https://openalex.org/W7119149105","https://openalex.org/W3208958020","https://openalex.org/W4312371441","https://openalex.org/W4385823443","https://openalex.org/W2972256896","https://openalex.org/W7131389373","https://openalex.org/W7159869855"],"abstract_inverted_index":{"Parkinson's":[0,41,97,144,157],"disease":[1,16,29,42,158],"is":[2,21],"a":[3,34,70],"neurodegenerative":[4],"disorder":[5],"that":[6,109,136],"gradually":[7],"affects":[8],"movement":[9],"control":[10],"and":[11,27,54,62,84,123,130],"speech":[12,79],"production.":[13],"Detecting":[14],"the":[15,96,103,110,114,121,153],"at":[17],"an":[18],"early":[19],"stage":[20],"important":[22],"for":[23,39],"improving":[24],"treatment":[25],"outcomes":[26],"slowing":[28],"progression.":[30],"This":[31],"research":[32],"proposes":[33],"multimodal":[35],"machine":[36],"learning":[37],"framework":[38],"identifying":[40],"using":[43,69],"three":[44],"different":[45,140],"sources":[46,149],"of":[47,118,128,155],"information:":[48],"image-based":[49],"drawing":[50],"tests,":[51],"voice":[52,88],"recordings,":[53],"clinical":[55,104,111],"measurements.":[56],"The":[57,75,133],"image":[58,122],"modality":[59,77,138],"analyzes":[60],"spiral":[61],"wave":[63],"drawings":[64],"to":[65],"identify":[66],"motor":[67],"abnormalities":[68],"convolutional":[71],"neural":[72],"network":[73],"model.":[74],"audio":[76,124],"evaluates":[78],"characteristics":[80],"such":[81],"as":[82],"jitter":[83],"shimmer":[85],"extracted":[86],"from":[87,95],"signals.":[89],"In":[90],"addition,":[91],"structured":[92],"medical":[93],"attributes":[94],"telemonitoring":[98],"dataset":[99],"are":[100],"used":[101],"in":[102],"modality.":[105],"Experimental":[106],"analysis":[107],"shows":[108],"model":[112],"achieved":[113],"highest":[115],"individual":[116],"accuracy":[117],"90%,":[119],"while":[120],"models":[125],"obtained":[126],"accuracies":[127],"89%":[129],"88%":[131],"respectively.":[132],"results":[134],"indicate":[135],"each":[137],"captures":[139],"symptoms":[141],"associated":[142],"with":[143],"disease.":[145],"Integrating":[146],"multiple":[147],"data":[148],"can":[150],"therefore":[151],"improve":[152],"reliability":[154],"automated":[156],"detection":[159],"systems.":[160]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-07-04T00:00:00"}
