{"id":"https://openalex.org/W4400908521","doi":"https://doi.org/10.1109/siu61531.2024.10600907","title":"Alzheimer\u2019s Disease Detection and Dataset Creation from Spontaneous Speech","display_name":"Alzheimer\u2019s Disease Detection and Dataset Creation from Spontaneous Speech","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908521","doi":"https://doi.org/10.1109/siu61531.2024.10600907"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5104999974","display_name":"Ediz Akarsu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ediz Akarsu","raw_affiliation_strings":["Y&#x0131;ld&#x0131;z Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Y&#x0131;ld&#x0131;z Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104987169","display_name":"Zahra Huseynliz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zahra Huseynliz","raw_affiliation_strings":["&#x0130;stanbul &#x00DC;niversitesi,&#x0130;stanbul T&#x0131;p Fakultesi, N&#x00F6;roloji Anabilim Dal&#x0131;,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul &#x00DC;niversitesi,&#x0130;stanbul T&#x0131;p Fakultesi, N&#x00F6;roloji Anabilim Dal&#x0131;,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035396980","display_name":"Ba\u015far B\u0131lg\u0131\u00e7","orcid":"https://orcid.org/0000-0001-6032-0856"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ba\u015far Bilgi\u00e7","raw_affiliation_strings":["&#x0130;stanbul &#x00DC;niversitesi,&#x0130;stanbul T&#x0131;p Fakultesi, N&#x00F6;roloji Anabilim Dal&#x0131;,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"&#x0130;stanbul &#x00DC;niversitesi,&#x0130;stanbul T&#x0131;p Fakultesi, N&#x00F6;roloji Anabilim Dal&#x0131;,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058834408","display_name":"Banu Di\u0307ri\u0307","orcid":"https://orcid.org/0000-0002-6652-4339"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dr. Banu Diri","raw_affiliation_strings":["Y&#x0131;ld&#x0131;z Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,&#x0130;stanbul,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Y&#x0131;ld&#x0131;z Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104999974"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14774429,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6190999746322632,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6190999746322632,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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":0.6540229916572571},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4100556969642639},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4071803092956543},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3979126214981079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34530144929885864},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11891725659370422}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540229916572571},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4100556969642639},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4071803092956543},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3979126214981079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34530144929885864},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11891725659370422},{"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/siu61531.2024.10600907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"study":[1,21,61,134],"presents":[2],"a":[3,25,38,136],"novel":[4],"approach":[5],"for":[6,27,40,139],"the":[7,12,20,69,93,102,150],"diagnosis":[8,126,154],"and":[9,35,53,55,84,92,111,127,147],"prediction":[10],"of":[11,14,19,48,64,74,95,129,152],"stages":[13],"Alzheimer\u2019s":[15,28,49,65,130,141],"disease.":[16,131],"The":[17,60],"aim":[18],"is":[22],"to":[23,36,101,149],"create":[24],"dataset":[26],"disease":[29,66,142],"based":[30,67],"on":[31,68,143],"Turkish":[32,144],"speech":[33,47,56,71,145],"data":[34,72,146],"provide":[37],"basis":[39],"future":[41],"studies.":[42],"For":[43],"this":[44,133],"purpose,":[45],"spontaneous":[46],"patients":[50],"was":[51],"analyzed":[52,91],"language":[54,88],"disorders":[57],"were":[58,90,98,107],"analyzed.":[59],"detects":[62],"signs":[63],"patient\u2019s":[70],"instead":[73],"clinical":[75],"test":[76],"results":[77,94,116],"or":[78],"imaging":[79],"data.":[80],"Using":[81],"machine":[82],"learning":[83,86],"deep":[85],"techniques,":[87],"features":[89],"different":[96],"methods":[97],"compared.":[99],"According":[100],"results,":[103],"64%":[104],"success":[105],"rates":[106],"obtained":[108],"with":[109,113],"SVM":[110],"70%":[112],"BERT+RNN.":[114],"These":[115],"show":[117],"that":[118],"language-based":[119,153],"analysis":[120],"can":[121],"be":[122],"effective":[123],"in":[124],"early":[125],"detection":[128],"Furthermore,":[132],"provides":[135],"valuable":[137],"resource":[138],"studying":[140],"contributes":[148],"development":[151],"methods.":[155]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
