{"id":"https://openalex.org/W4293812274","doi":"https://doi.org/10.1109/access.2022.3203068","title":"An Evaluation on Information Composition in Dementia Detection Based on Speech","display_name":"An Evaluation on Information Composition in Dementia Detection Based on Speech","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293812274","doi":"https://doi.org/10.1109/access.2022.3203068"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3203068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09870792.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09870792.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029088619","display_name":"Chuheng Zheng","orcid":"https://orcid.org/0009-0005-7249-1149"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chuheng Zheng","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068994330","display_name":"Mondher Bouazizi","orcid":"https://orcid.org/0000-0001-7055-9318"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mondher Bouazizi","raw_affiliation_strings":["Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016337773","display_name":"Tomoaki Ohtsuki","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029088619"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.7587,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91600371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"92294","last_page":"92306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12488","display_name":"Mental Health via Writing","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8082360625267029},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6710997819900513},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.6622198820114136},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6511542797088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354321241378784},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5871688723564148},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4756438434123993},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4723205268383026},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.444180965423584},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4401482343673706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3567792773246765},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15760639309883118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082360625267029},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6710997819900513},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.6622198820114136},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6511542797088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354321241378784},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5871688723564148},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4756438434123993},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4723205268383026},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.444180965423584},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4401482343673706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3567792773246765},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15760639309883118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3203068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09870792.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2095c4ffce174380ae61a2805fc56702","is_oa":true,"landing_page_url":"https://doaj.org/article/2095c4ffce174380ae61a2805fc56702","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 92294-92306 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3203068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09870792.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322148","display_name":"Eisai","ror":"https://ror.org/04vvh7p27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293812274.pdf","grobid_xml":"https://content.openalex.org/works/W4293812274.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W310817617","https://openalex.org/W1853705225","https://openalex.org/W1981712318","https://openalex.org/W1991248487","https://openalex.org/W1994871153","https://openalex.org/W2027610785","https://openalex.org/W2069059483","https://openalex.org/W2089109585","https://openalex.org/W2090304207","https://openalex.org/W2112249672","https://openalex.org/W2112796928","https://openalex.org/W2132508894","https://openalex.org/W2136914353","https://openalex.org/W2136922672","https://openalex.org/W2139331960","https://openalex.org/W2143017621","https://openalex.org/W2151969795","https://openalex.org/W2165679544","https://openalex.org/W2250240141","https://openalex.org/W2252171711","https://openalex.org/W2292217864","https://openalex.org/W2322519201","https://openalex.org/W2339043320","https://openalex.org/W2494158283","https://openalex.org/W2597672453","https://openalex.org/W2748899494","https://openalex.org/W2770604845","https://openalex.org/W2886342482","https://openalex.org/W2939515132","https://openalex.org/W2963026768","https://openalex.org/W3034718411","https://openalex.org/W3163826605","https://openalex.org/W4287690400","https://openalex.org/W4289276792","https://openalex.org/W4297807045","https://openalex.org/W4299838440","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6742632731","https://openalex.org/W6756799122","https://openalex.org/W6782134535","https://openalex.org/W6793793029"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W4394659737","https://openalex.org/W2759814045","https://openalex.org/W2118055728","https://openalex.org/W4399756845","https://openalex.org/W2736760277","https://openalex.org/W4386940087","https://openalex.org/W4386931226"],"abstract_inverted_index":{"In":[0,26,100],"recent":[1,30],"years,":[2],"scientists":[3],"are":[4,74,174],"paying":[5],"much":[6],"attention":[7],"to":[8,19,58,128,164,216,225],"the":[9,20,34,59,93,96,130,140,149,153,204],"research":[10,31],"on":[11],"automatic":[12],"dementia":[13,24,63,78,86,134],"detection":[14,64],"that":[15,84,209],"could":[16],"be":[17],"applied":[18,57],"speech":[21,131],"samples":[22],"of":[23,37,61,95,133,151,200],"patients.":[25,135],"a":[27,168,179,185,196],"related":[28],"context,":[29],"has":[32],"seen":[33],"fast":[35],"development":[36],"Deep":[38],"Learning":[39],"(DL)":[40],"and":[41,71,125,190,195,212,228],"Natural":[42],"Language":[43],"Processing":[44],"(NLP).":[45],"The":[46,218],"techniques":[47],"developed":[48],"for":[49,85],"text":[50,69,141],"classification":[51,70],"or":[52],"sentiment":[53,72],"analysis":[54,73],"have":[55],"been":[56],"field":[60],"early":[62],"by":[65],"many":[66],"researchers.":[67],"However,":[68],"different":[75,171],"tasks":[76],"from":[77,144],"detection,":[79,87],"which":[80,162],"makes":[81],"us":[82],"believe":[83],"some":[88],"adjustments":[89],"would":[90],"help":[91],"improve":[92],"performance":[94],"machine":[97],"learning":[98],"models.":[99],"this":[101,177],"work,":[102],"we":[103,147,207],"implemented":[104],"experiments":[105],"with":[106],"various":[107],"language":[108,113,172],"models":[109,127,173,220],"including":[110],"traditional":[111,137],"n-gram":[112],"models,":[114,124],"Average":[115],"stochastic":[116],"gradient":[117],"descent":[118],"Weight-Dropped":[119],"Long":[120],"Short-Term":[121],"Memory":[122],"(AWD-LSTM)":[123],"attention-based":[126],"evaluate":[129],"data":[132],"Unlike":[136],"works":[138],"where":[139],"is":[142],"stripped":[143],"stop":[145,154,188],"words,":[146,184],"propose":[148],"idea":[150],"exploiting":[152],"words":[155,189],"themselves,":[156],"since":[157],"they":[158],"offer":[159],"non-context":[160],"information":[161],"helps":[163],"identify":[165],"dementia.":[166],"As":[167],"result,":[169],"3":[170,219],"prepared":[175],"in":[176],"work:":[178],"model":[180,186,197],"processing":[181,187,198],"only":[182],"context":[183],"Part-of-Speech":[191],"(PoS)":[192],"tag":[193],"sequences,":[194],"both":[199,210],"them.":[201],"By":[202],"performing":[203],"aforementioned":[205],"experiments,":[206],"show":[208],"grammar":[211],"vocabulary":[213],"contribute":[214],"equally":[215],"classification:":[217],"achieve":[221],"an":[222],"accuracy":[223],"equal":[224],"70.00%,":[226],"76.16%,":[227],"81.54%,":[229],"respectively.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}