{"id":"https://openalex.org/W3162583858","doi":"https://doi.org/10.1109/icpr48806.2021.9413040","title":"Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction","display_name":"Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3162583858","doi":"https://doi.org/10.1109/icpr48806.2021.9413040","mag":"3162583858"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5101687078","display_name":"Zhongwei Huang","orcid":"https://orcid.org/0000-0002-9983-8377"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Huang","raw_affiliation_strings":["Institute of Computer and Software, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer and Software, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080487552","display_name":"Haijun Lei","orcid":"https://orcid.org/0000-0001-5325-5400"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Lei","raw_affiliation_strings":["Institute of Computer and Software, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer and Software, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685375","display_name":"Shiqi Li","orcid":"https://orcid.org/0000-0002-0902-6472"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Li","raw_affiliation_strings":["Institute of Computer and Software, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer and Software, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048459031","display_name":"Xiaohua Xiao","orcid":"https://orcid.org/0000-0003-1526-882X"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xiao","raw_affiliation_strings":["First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454679","display_name":"Ee-Leng Tan","orcid":"https://orcid.org/0000-0002-3129-0448"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ee-Leng Tan","raw_affiliation_strings":["School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001212991","display_name":"Baiying Lei","orcid":"https://orcid.org/0000-0002-3087-2550"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baiying Lei","raw_affiliation_strings":["School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5736","last_page":"5743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9914000034332275,"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":0.9914000034332275,"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/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9765999913215637,"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/T11309","display_name":"Music and Audio Processing","score":0.9448000192642212,"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/feature-selection","display_name":"Feature selection","score":0.8456900119781494},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6783968806266785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759054064750671},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.6753511428833008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6300740242004395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5035232901573181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4889022409915924},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47858595848083496},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44464367628097534},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.38254618644714355},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13180413842201233}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8456900119781494},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6783968806266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759054064750671},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.6753511428833008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6300740242004395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5035232901573181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4889022409915924},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47858595848083496},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44464367628097534},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.38254618644714355},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13180413842201233},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W166926187","https://openalex.org/W1902027874","https://openalex.org/W1908634864","https://openalex.org/W2036109700","https://openalex.org/W2110798204","https://openalex.org/W2144513243","https://openalex.org/W2172174689","https://openalex.org/W2211483859","https://openalex.org/W2248620004","https://openalex.org/W2595938919","https://openalex.org/W2782357820","https://openalex.org/W2890970769","https://openalex.org/W2894660140","https://openalex.org/W6606792154","https://openalex.org/W6676481782","https://openalex.org/W6681151457","https://openalex.org/W6684753728"],"related_works":["https://openalex.org/W4225360065","https://openalex.org/W4212852473","https://openalex.org/W4307883119","https://openalex.org/W3174196512","https://openalex.org/W2592385986","https://openalex.org/W3087493185","https://openalex.org/W4295514622","https://openalex.org/W2970216048","https://openalex.org/W2785535669","https://openalex.org/W4309118558"],"abstract_inverted_index":{"Parkinson's":[0,143],"disease":[1,7,130],"(PD)":[2],"is":[3,29],"an":[4,33],"irreversible":[5],"neurodegenerative":[6],"that":[8],"seriously":[9],"affects":[10],"patients'":[11],"lives.":[12],"To":[13,99],"provide":[14],"patients":[15],"with":[16,71,95],"accurate":[17,39],"treatment":[18],"in":[19],"time":[20,97],"and":[21,38,68,87,102,132,156],"to":[22,31,76,115,123],"reduce":[23],"deterioration":[24],"of":[25,36,50,81,90],"the":[26,79,91,140,150],"disease,":[27],"it":[28],"critical":[30],"have":[32],"early":[34],"diagnosis":[35,131],"PD":[37],"clinical":[40,134],"score":[41,135],"predictions.":[42,136],"Different":[43],"from":[44,65,105],"previous":[45],"studies":[46],"on":[47,54,139],"PD,":[48],"most":[49],"which":[51,159],"only":[52],"focus":[53],"feature":[55,82,113],"selection":[56,114],"methods,":[57],"we":[58,108],"propose":[59],"a":[60],"network":[61],"combining":[62],"joint":[63,129],"learning":[64],"multiple":[66,96],"modalities":[67],"relations":[69],"(JLMMR)":[70],"sparse":[72],"nonnegative":[73],"autoencoder":[74],"(SNAE)":[75],"further":[77,120],"enhance":[78],"ability":[80],"expression.":[83],"We":[84,119],"first":[85],"preprocess":[86],"extract":[88,100],"features":[89,104,127],"modal":[92],"neuroimaging":[93],"data":[94],"points.":[98],"discriminative":[101,126],"informative":[103],"longitudinal":[106,125],"data,":[107],"apply":[109],"JLMMR":[110],"method":[111,152],"for":[112,128],"avoid":[116],"over-fitting":[117],"issues.":[118],"exploit":[121],"SNAE":[122],"learn":[124],"obtain":[133],"Extensive":[137],"experiments":[138],"publicly":[141],"available":[142],"Progression":[144],"Markers":[145],"Initiative":[146],"(PPMI)":[147],"dataset":[148],"show":[149],"proposed":[151],"produces":[153],"promising":[154],"classification":[155],"prediction":[157],"performance,":[158],"outperforms":[160],"state-of-the-art":[161],"methods":[162],"as":[163],"well.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
