{"id":"https://openalex.org/W4392970432","doi":"https://doi.org/10.4108/eetpht.10.5467","title":"Gait Data-Driven Analysis of Parkinson\u2019s Disease Using Machine Learning","display_name":"Gait Data-Driven Analysis of Parkinson\u2019s Disease Using Machine Learning","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392970432","doi":"https://doi.org/10.4108/eetpht.10.5467"},"language":"en","primary_location":{"id":"doi:10.4108/eetpht.10.5467","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetpht.10.5467","pdf_url":"https://publications.eai.eu/index.php/phat/article/download/5467/3030","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://publications.eai.eu/index.php/phat/article/download/5467/3030","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111150338","display_name":"Archana Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Archana Panda","raw_affiliation_strings":["KIIT University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT University","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067437414","display_name":"Prachet Bhuyan","orcid":"https://orcid.org/0000-0003-4563-6902"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prachet Bhuyan","raw_affiliation_strings":["KIIT University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT University","institution_ids":["https://openalex.org/I67357951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111150338"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":0.6706,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68474435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"10","issue":null,"first_page":null,"last_page":null},"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":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"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/T10919","display_name":"Neurological disorders and treatments","score":0.9790999889373779,"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/gait","display_name":"Gait","score":0.6748733520507812},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.6743464469909668},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.6472930312156677},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5323163866996765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4452301263809204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4267498850822449},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3669600784778595},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3565387725830078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33136609196662903},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3095495402812958},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.05313515663146973}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6748733520507812},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.6743464469909668},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.6472930312156677},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5323163866996765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4452301263809204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4267498850822449},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3669600784778595},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3565387725830078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33136609196662903},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3095495402812958},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.05313515663146973}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4108/eetpht.10.5467","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetpht.10.5467","pdf_url":"https://publications.eai.eu/index.php/phat/article/download/5467/3030","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4108/eetpht.10.5467","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eetpht.10.5467","pdf_url":"https://publications.eai.eu/index.php/phat/article/download/5467/3030","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392970432.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W976039271","https://openalex.org/W1969824462","https://openalex.org/W1972310704","https://openalex.org/W2002206292","https://openalex.org/W2035712659","https://openalex.org/W2049872195","https://openalex.org/W2052513666","https://openalex.org/W2070049573","https://openalex.org/W2145954079","https://openalex.org/W2314972438","https://openalex.org/W2604019843","https://openalex.org/W2612876124","https://openalex.org/W2793602707","https://openalex.org/W2969944904","https://openalex.org/W2996189521","https://openalex.org/W3132964541","https://openalex.org/W4211123396"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2008860278","https://openalex.org/W2031771476","https://openalex.org/W2471060339","https://openalex.org/W2148547327","https://openalex.org/W1989734657","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2790560349","https://openalex.org/W4226004263"],"abstract_inverted_index":{"INTRODUCTION:":[0],"Parkinson's":[1,17,52,58],"disease":[2,18,59],"is":[3,19,222,253,270],"a":[4,156],"progressive":[5],"and":[6,14,35,80,83,108,115,152,163,199,239,272],"complex":[7],"neurological":[8],"condition":[9],"that":[10,46,265],"mostly":[11],"affects":[12],"coordination":[13],"motor":[15,25],"control.":[16],"most":[20],"commonly":[21],"associated":[22],"with":[23,215,226],"its":[24],"symptoms,":[26],"which":[27,101],"include":[28],"tremors,":[29],"bradykinesia":[30],"(slowness":[31],"of":[32,51,57,74,100,112,129,148,165,194],"movement),":[33],"rigidity,":[34],"postural":[36],"instability.":[37],"OBJECTIVES:":[38],"Determine":[39],"any":[40],"minor":[41],"alterations":[42],"in":[43],"walking":[44],"patterns":[45,123],"could":[47],"be":[48],"early":[49],"signs":[50],"disease.":[53],"Track":[54],"the":[55,109,113,127,130,138,146,150,161,166,192,195,200,227,234,243],"course":[56],"over":[60],"time":[61],"by":[62,137],"using":[63,88,97],"gait":[64,122,133],"data.":[65,141],"METHODS:":[66],"In":[67],"this":[68],"study,":[69],"we":[70,144,231],"applied":[71,104],"three":[72,120],"types":[73],"VGRF":[75],"datasets":[76,94],"(\"Dual":[77],"Tasking,":[78],"RAS,":[79],"Treadmill":[81],"Walking\")":[82],"developed":[84],"an":[85],"ML-based":[86],"model":[87,151,221,237,258,269],"six":[89],"different":[90,207,216],"classifier":[91,209,245,249],"methods.":[92],"The":[93,118,132,188,206,247],"were":[95,103,126],"analysed":[96],"16":[98],"sensors,":[99],"8":[102],"to":[105,159,224],"each":[106],"foot":[107],"total":[110],"pressure":[111],"left":[114],"right":[116],"foot.":[117],"aforementioned":[119],"distinct":[121],"movement":[124],"disorders":[125],"sources":[128],"dataset.":[131],"signals":[134],"dataset":[135],"benefited":[136],"participant":[139],"demographic":[140],"RESULTS:":[142],"Then,":[143],"passed":[145],"outcome":[147],"applying":[149],"measuring":[153],"performance":[154],"through":[155],"cross-validation":[157],"operator":[158],"check":[160],"accuracy":[162,240,252],"decision-making":[164],"five":[167],"algorithms":[168,197,210],"i)":[169],"Deep":[170],"Learning,":[171],"ii)":[172],"Neural":[173],"Networks,":[174],"iii)":[175],"Support":[176],"Vector":[177],"Machine":[178],"(SVM),":[179],"iv)":[180],"Gradient":[181],"Boost":[182],"Tree":[183],"(GBT),":[184],"v)":[185],"Random":[186],"Forest\u201d.":[187],"following":[189],"findings":[190],"compare":[191,225],"effectiveness":[193],"various":[196],"utilized":[198],"observed":[201],"PD":[202],"very":[203],"well.":[204],"CONCLUSION:":[205],"ML":[208],"demonstrated":[211],"good":[212],"detection":[213],"capability":[214],"accuracy.":[217],"Our":[218],"proposed":[219,235,267],"ensemble":[220,236,257,268],"superior":[223],"existing":[228],"models.":[229],"Because":[230],"can":[232],"observe":[233],"result":[238],"better":[241],"than":[242],"other":[244,248],"model.":[246],"model\u2019s":[250],"highest":[251],"92.08%":[254],"whereas":[255],"our":[256,266],"got":[259],"92.31%.":[260],"So,":[261],"it":[262],"has":[263],"proved":[264],"excellent":[271],"robust.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}