{"id":"https://openalex.org/W4402471030","doi":"https://doi.org/10.1186/s12859-024-05911-6","title":"Mild cognitive impairment prediction based on multi-stream convolutional neural networks","display_name":"Mild cognitive impairment prediction based on multi-stream convolutional neural networks","publication_year":2024,"publication_date":"2024-09-12","ids":{"openalex":"https://openalex.org/W4402471030","doi":"https://doi.org/10.1186/s12859-024-05911-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/39266977"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-024-05911-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05911-6","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12859-024-05911-6.pdf","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s12859-024-05911-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054004146","display_name":"Chien-Cheng Lee","orcid":"https://orcid.org/0000-0003-1289-928X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Cheng Lee","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan. cclee@saturn.yzu.edu.tw"],"raw_orcid":"https://orcid.org/0000-0003-1289-928X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan. cclee@saturn.yzu.edu.tw","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076446326","display_name":"Hong-Han Chau","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Han Chau","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013419015","display_name":"Hsiao-Lun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Lun Wang","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102845522","display_name":"Yi\u2010Fang Chuang","orcid":"https://orcid.org/0000-0002-5421-9855"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I4210102996","display_name":"Far Eastern Memorial Hospital","ror":"https://ror.org/019tq3436","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210102996"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Fang Chuang","raw_affiliation_strings":["Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, 220, Taiwan","Institute of Public Health, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei City, 220, Taiwan","institution_ids":["https://openalex.org/I4210102996"]},{"raw_affiliation_string":"Institute of Public Health, College of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073661808","display_name":"Yawgeng A. Chau","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yawgeng Chau","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, 320, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054004146"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.2979,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80966754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"22","issue":"S5","first_page":"638","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9024999737739563,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9024999737739563,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.008899999782443047,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.007899999618530273,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.6702331900596619},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6342573165893555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5884490013122559},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5467608571052551},{"id":"https://openalex.org/keywords/cognitive-decline","display_name":"Cognitive decline","score":0.5443993210792542},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5312784910202026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5124821662902832},{"id":"https://openalex.org/keywords/cognitive-impairment","display_name":"Cognitive impairment","score":0.43678486347198486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4365251660346985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504055440425873},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2458321452140808},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2175614833831787},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11673283576965332},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0785476565361023}],"concepts":[{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.6702331900596619},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6342573165893555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5884490013122559},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5467608571052551},{"id":"https://openalex.org/C2984863031","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Cognitive decline","level":4,"score":0.5443993210792542},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5312784910202026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5124821662902832},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.43678486347198486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4365251660346985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504055440425873},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2458321452140808},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2175614833831787},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11673283576965332},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0785476565361023},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-024-05911-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05911-6","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12859-024-05911-6.pdf","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:39266977","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39266977","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11394935","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11394935","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11394935/pdf/12859_2024_Article_5911.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:516a9aefcdf24090a097cf9f49d481c8","is_oa":true,"landing_page_url":"https://doaj.org/article/516a9aefcdf24090a097cf9f49d481c8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 22, Iss S5, Pp 1-16 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-024-05911-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05911-6","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12859-024-05911-6.pdf","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1758253551","display_name":null,"funder_award_id":"-2221-E-155","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2205640134","display_name":null,"funder_award_id":"MOST 109","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G2219925683","display_name":null,"funder_award_id":"MOST 109-2221-E-155-054","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G3485617134","display_name":null,"funder_award_id":"YUA-457596","funder_id":"https://openalex.org/F4320308258","funder_display_name":"Qualcomm"},{"id":"https://openalex.org/G3862518167","display_name":null,"funder_award_id":"MOST 109-","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8985157498","display_name":null,"funder_award_id":"MOST 109-2221","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402471030.pdf","grobid_xml":"https://content.openalex.org/works/W4402471030.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1578985305","https://openalex.org/W1975699010","https://openalex.org/W2005790757","https://openalex.org/W2047219622","https://openalex.org/W2074760672","https://openalex.org/W2078308953","https://openalex.org/W2098457300","https://openalex.org/W2106390385","https://openalex.org/W2108598243","https://openalex.org/W2109140840","https://openalex.org/W2115017507","https://openalex.org/W2136914353","https://openalex.org/W2137554996","https://openalex.org/W2194775991","https://openalex.org/W2309693750","https://openalex.org/W2342662179","https://openalex.org/W2407894931","https://openalex.org/W2582524520","https://openalex.org/W2761528903","https://openalex.org/W2884581136","https://openalex.org/W2891328086","https://openalex.org/W2897750934","https://openalex.org/W2898900355","https://openalex.org/W2903800102","https://openalex.org/W2963315828","https://openalex.org/W2966049606","https://openalex.org/W2979337173","https://openalex.org/W2997244253","https://openalex.org/W3007878073","https://openalex.org/W3026272888","https://openalex.org/W3034021666","https://openalex.org/W3042015757","https://openalex.org/W3081963296","https://openalex.org/W3082051240","https://openalex.org/W3121930650","https://openalex.org/W3125139346","https://openalex.org/W3158027634","https://openalex.org/W4210664141"],"related_works":["https://openalex.org/W2409059799","https://openalex.org/W364817481","https://openalex.org/W2327340211","https://openalex.org/W1972242255","https://openalex.org/W2027542625","https://openalex.org/W2890927416","https://openalex.org/W4292199793","https://openalex.org/W1481122508","https://openalex.org/W4390605164","https://openalex.org/W2208745537"],"abstract_inverted_index":{"BACKGROUND:":[0],"Mild":[1],"cognitive":[2,11,20,43,115],"impairment":[3],"(MCI)":[4],"is":[5,266,310],"the":[6,10,131,134,148,155,159,164,188,199,208,212,220,225],"transition":[7],"stage":[8,157],"between":[9],"decline":[12,21],"expected":[13],"in":[14,34],"normal":[15,114],"aging":[16],"and":[17,61,69,117,139,146,179,195,217,253,284,291],"more":[18,311],"severe":[19],"such":[22],"as":[23,150,259],"dementia.":[24],"The":[25,99,123,183],"early":[26],"diagnosis":[27],"of":[28,39,143,163,205,222,300],"MCI":[29,40,68,94,121,151,238,246,275,286,326],"plays":[30],"an":[31,203,232],"important":[32],"role":[33],"human":[35],"healthcare.":[36],"Current":[37],"methods":[38,58,288],"detection":[41,161],"include":[42],"tests":[44],"to":[45,92,323],"screen":[46],"for":[47,236,262,269,273,313,320],"executive":[48],"function":[49,194],"impairments,":[50],"possibly":[51],"followed":[52],"by":[53,74],"neuroimaging":[54],"tests.":[55],"However,":[56,211],"these":[57],"are":[59,103,125,289],"expensive":[60],"time-consuming.":[62],"Several":[63],"studies":[64],"have":[65,243],"demonstrated":[66],"that":[67,187,245,281,306],"dementia":[70],"can":[71,247,256],"be":[72,248,257],"detected":[73,249],"machine":[75],"learning":[76],"technologies":[77],"from":[78,95,107,113,120,239,250],"different":[79,314],"modality":[80],"data.":[81,278],"This":[82,229,264],"study":[83,230],"proposes":[84],"a":[85,260],"multi-stream":[86],"convolutional":[87],"neural":[88],"network":[89],"(MCNN)":[90],"model":[91,171,302],"predict":[93],"face":[96],"videos.":[97,241],"RESULTS:":[98],"total":[100],"effective":[101],"data":[102,255],"48":[104],"facial":[105,136,140,240,251,254,277],"videos":[106,112,119,124],"45":[108],"participants,":[109],"including":[110,173],"35":[111],"participants":[116],"13":[118],"participants.":[122],"divided":[126],"into":[127],"several":[128],"segments.":[129],"Then,":[130],"MCNN":[132,170],"captures":[133],"latent":[135],"spatial":[137],"features":[138,142],"dynamic":[141],"each":[144],"segment":[145,149,209],"classifies":[147],"or":[152],"normal.":[153],"Finally,":[154],"aggregation":[156],"produces":[158,198],"final":[160],"results":[162,185,201,317],"input":[165],"video.":[166],"We":[167],"evaluate":[168],"27":[169,301],"combinations":[172,303],"three":[174,177,180],"ResNet":[175],"architectures,":[176],"optimizers,":[178],"activation":[181,193],"functions.":[182],"experimental":[184],"showed":[186],"ResNet-50":[189,307],"backbone":[190,214],"with":[191,202,215,308],"Swish":[192,216,309],"Ranger":[196,218],"optimizer":[197],"best":[200],"F1-score":[204,221],"89%":[206],"at":[207,224],"level.":[210,227],"ResNet-18":[213],"achieves":[219],"100%":[223],"participant":[226],"CONCLUSIONS:":[228],"presents":[231],"efficient":[233],"new":[234],"method":[235],"predicting":[237],"Studies":[242],"shown":[244],"videos,":[252],"used":[258],"biomarker":[261],"MCI.":[263],"approach":[265],"very":[267],"promising":[268],"developing":[270],"accurate":[271],"models":[272],"screening":[274,287],"through":[276],"It":[279],"demonstrates":[280],"automated,":[282],"non-invasive,":[283],"inexpensive":[285],"feasible":[290],"do":[292],"not":[293],"require":[294],"highly":[295],"subjective":[296],"paper-and-pencil":[297],"questionnaires.":[298],"Evaluation":[299],"also":[304],"found":[305],"stable":[312],"optimizers.":[315],"Such":[316],"provide":[318],"directions":[319],"hyperparameter":[321],"tuning":[322],"further":[324],"improve":[325],"predictions.":[327]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}