{"id":"https://openalex.org/W4313527301","doi":"https://doi.org/10.1109/bibm55620.2022.9995234","title":"Detecting Mild Cognitive Impairment in Alzheimer\u2019s Disease using Speech Acoustics Only: A Two-Stage Deep Metric Learning Approach","display_name":"Detecting Mild Cognitive Impairment in Alzheimer\u2019s Disease using Speech Acoustics Only: A Two-Stage Deep Metric Learning Approach","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527301","doi":"https://doi.org/10.1109/bibm55620.2022.9995234"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995234","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995234","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":null,"display_name":"Chen Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Qian","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014649804","display_name":"Jingkai Di","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkai Di","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103222435","display_name":"Jiyun Li","orcid":"https://orcid.org/0000-0001-9469-3079"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyun Li","raw_affiliation_strings":["Donghua University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Donghua University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50686275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2682","last_page":"2689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9941999912261963,"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":0.9941999912261963,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9919000267982483,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/metric","display_name":"Metric (unit)","score":0.7637873888015747},{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"Cognitive impairment","score":0.6360193490982056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5018746852874756},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4781932830810547},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.4423029124736786},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.40628582239151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3786199688911438},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.33533576130867004},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23214590549468994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21057286858558655},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19775110483169556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10514950752258301},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06368440389633179}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7637873888015747},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.6360193490982056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5018746852874756},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4781932830810547},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.4423029124736786},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.40628582239151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3786199688911438},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.33533576130867004},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23214590549468994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21057286858558655},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19775110483169556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10514950752258301},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06368440389633179},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995234","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm55620.2022.9995234","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320336366","display_name":"Initial Research Funds for Young Teachers of Donghua University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W92594949","https://openalex.org/W1514808902","https://openalex.org/W1553437616","https://openalex.org/W1686810756","https://openalex.org/W2034329102","https://openalex.org/W2090777335","https://openalex.org/W2144005487","https://openalex.org/W2295598076","https://openalex.org/W2491878931","https://openalex.org/W2598634450","https://openalex.org/W2610000505","https://openalex.org/W2752782242","https://openalex.org/W2896457183","https://openalex.org/W2900771622","https://openalex.org/W2963775347","https://openalex.org/W2964295436","https://openalex.org/W2990854944","https://openalex.org/W2997200074","https://openalex.org/W3034552520","https://openalex.org/W3036601975","https://openalex.org/W3091852516","https://openalex.org/W3097109903","https://openalex.org/W3114146310","https://openalex.org/W3118601194","https://openalex.org/W3175739461","https://openalex.org/W3196818043","https://openalex.org/W3197699225","https://openalex.org/W3201447839","https://openalex.org/W3211012944","https://openalex.org/W3211448986","https://openalex.org/W4214599434","https://openalex.org/W4220747822","https://openalex.org/W4288071313","https://openalex.org/W4288071315","https://openalex.org/W4294214907","https://openalex.org/W6637373629","https://openalex.org/W6735531217","https://openalex.org/W6755207826","https://openalex.org/W6780218876"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W4393624937","https://openalex.org/W4296658948","https://openalex.org/W3167355683","https://openalex.org/W3211565028"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"shown":[3],"that":[4,80,97],"spontaneous":[5],"speech":[6],"can":[7,81,101],"be":[8,39],"exploited":[9],"for":[10],"cognitive":[11,33],"decline":[12],"screening":[13],"in":[14],"individuals":[15],"with":[16,117],"Alzheimer\u2019s":[17,29],"dementia.":[18],"However,":[19],"as":[20,65],"the":[21,42,49,88,93,104],"intermediate":[22],"state":[23],"between":[24,115],"healthy":[25],"control":[26],"(HC)":[27],"and":[28,109,120],"disease":[30],"(AD),":[31],"mild":[32],"impairment":[34],"(MCI)":[35],"is":[36],"challenging":[37],"to":[38,47,67],"distinguished":[40],"from":[41],"other":[43],"two.":[44],"In":[45],"order":[46],"tackle":[48],"problem,":[50],"this":[51],"paper":[52],"proposes":[53],"a":[54,68],"two-stage":[55],"metric":[56],"learning":[57],"approach.":[58],"Each":[59],"stage":[60],"takes":[61],"distinct":[62],"acoustic":[63],"features":[64],"input":[66],"specific":[69],"deep":[70],"neural":[71],"network.":[72],"Moreover,":[73],"we":[74],"present":[75],"an":[76,112],"online":[77],"triplet":[78],"generator":[79],"maximize":[82],"sample":[83],"utilization":[84],"efficiency":[85],"by":[86],"investigating":[87],"decorrelation":[89],"among":[90],"samples.":[91],"Finally,":[92],"experimental":[94],"results":[95],"prove":[96],"our":[98],"proposed":[99],"approach":[100],"significantly":[102],"improve":[103],"accuracy":[105],"of":[106],"MCI":[107],"detection":[108],"hence":[110],"perform":[111],"excellent":[113],"classification":[114],"subjects":[116],"AD,":[118],"HC,":[119],"MCI.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
