{"id":"https://openalex.org/W3211158988","doi":"https://doi.org/10.1109/icccnt51525.2021.9580024","title":"Parkinson's Disease Classification using Quantile Transformation and RFE","display_name":"Parkinson's Disease Classification using Quantile Transformation and RFE","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3211158988","doi":"https://doi.org/10.1109/icccnt51525.2021.9580024","mag":"3211158988"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9580024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","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/A5032673845","display_name":"Kotharu uma Venkata Ravi teja","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kotharu uma Venkata Ravi teja","raw_affiliation_strings":["School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069663113","display_name":"B Pavan Venkat Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B Pavan Venkat Reddy","raw_affiliation_strings":["School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055460481","display_name":"Likith Preetham Alla","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Likith Preetham Alla","raw_affiliation_strings":["School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067257243","display_name":"Hemprasad Yashwant Patil","orcid":"https://orcid.org/0000-0002-8572-0765"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemprasad Yashwant Patil","raw_affiliation_strings":["School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering (SENSE), Vellore Institute of Technology, Tamilnadu, INDIA","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032673845"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.5944,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66711547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11309","display_name":"Music and Audio Processing","score":0.9395999908447266,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9039000272750854,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/support-vector-machine","display_name":"Support vector machine","score":0.7817995548248291},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7107239961624146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704268217086792},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6547461748123169},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6524812579154968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6267008781433105},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6245996952056885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.576922595500946},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5567265152931213},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5341464877128601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5290694832801819},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.46609604358673096},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.45848768949508667},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45700040459632874},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.41325998306274414},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23773333430290222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20085924863815308},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11671558022499084}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7817995548248291},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7107239961624146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704268217086792},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6547461748123169},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6524812579154968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6267008781433105},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6245996952056885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.576922595500946},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5567265152931213},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5341464877128601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5290694832801819},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.46609604358673096},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.45848768949508667},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45700040459632874},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.41325998306274414},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23773333430290222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20085924863815308},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11671558022499084},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9580024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W49996880","https://openalex.org/W179179905","https://openalex.org/W1967320885","https://openalex.org/W1986760411","https://openalex.org/W1988195734","https://openalex.org/W2034996255","https://openalex.org/W2066515994","https://openalex.org/W2092829070","https://openalex.org/W2119821739","https://openalex.org/W2134886133","https://openalex.org/W2149706766","https://openalex.org/W2896691302","https://openalex.org/W2953357735","https://openalex.org/W2969944904","https://openalex.org/W2972937106","https://openalex.org/W2986507481","https://openalex.org/W3001601968","https://openalex.org/W3004316272","https://openalex.org/W3020826538","https://openalex.org/W3034143844","https://openalex.org/W3036151863","https://openalex.org/W3046616231","https://openalex.org/W3088476598","https://openalex.org/W3094576684","https://openalex.org/W3119082705","https://openalex.org/W3120875977","https://openalex.org/W3126813237","https://openalex.org/W3128960514","https://openalex.org/W3158565229","https://openalex.org/W3176910773","https://openalex.org/W4236137412","https://openalex.org/W4238906715","https://openalex.org/W4239510810","https://openalex.org/W4301003819","https://openalex.org/W6607259140","https://openalex.org/W6788154484","https://openalex.org/W6788605391","https://openalex.org/W6790798566","https://openalex.org/W6794437365"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W3014605311","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W4376874882"],"abstract_inverted_index":{"Parkinson's":[0],"disease":[1],"(PD)":[2],"occurs":[3],"because":[4],"of":[5,8,14,27,49,52,59,115,121,124,128,136],"the":[6,15,35,42,47,57,73,91,101,107,134,137,147],"insufficiency":[7],"dopamine":[9],"that":[10,21],"manages":[11],"diverse":[12],"activities":[13],"human":[16],"body.":[17],"Analysts":[18],"have":[19,66,111],"recognized":[20],"voice":[22,50,141],"is":[23],"a":[24],"fundamental":[25],"symptom":[26],"PD.":[28],"The":[29,86,130],"paper":[30],"mainly":[31],"focuses":[32],"on":[33,41],"analyzing":[34],"characteristic":[36],"feature":[37,96],"selection":[38],"with":[39,56,106,146,150],"RFE":[40,95,151],"Quantile":[43],"transformed":[44],"data":[45],"for":[46,117,140],"regulation":[48],"analysis":[51,142],"PD":[53,84,144],"systems,":[54],"along":[55],"use":[58],"various":[60,68],"classifiers.":[61],"In":[62],"this":[63],"work,":[64],"we":[65,110],"implemented":[67],"machine":[69],"learning":[70],"models":[71],"like":[72],"SVM,":[74],"Random":[75],"forest,":[76],"Decision":[77],"tree,":[78],"and":[79,82,94,98,119,126,152],"logistic":[80],"regression,":[81],"accomplished":[83],"classification.":[85],"results":[87],"obtained":[88,112],"by":[89,99],"using":[90,103],"quantile":[92,148],"transform":[93,149],"selection,":[97],"tuning":[100,105],"classifiers":[102],"hyperparameter":[104],"GridSearchCV":[108],"method,":[109],"higher":[113],"accuracy":[114],"90%":[116],"SVM":[118,138],"F1-score":[120],"80%,":[122],"recall":[123],"82%,":[125],"precision":[127],"79%.":[129],"findings":[131],"strongly":[132],"guide":[133],"application":[135],"classifier":[139],"based":[143],"classification":[145],"GridSearchCV.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
