{"id":"https://openalex.org/W3000068342","doi":"https://doi.org/10.1109/icmlc48188.2019.8949317","title":"Multi-Class Brain Age Discrimination Using Machine Learning Algorithm","display_name":"Multi-Class Brain Age Discrimination Using Machine Learning Algorithm","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3000068342","doi":"https://doi.org/10.1109/icmlc48188.2019.8949317","mag":"3000068342"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5036795366","display_name":"Hsiao-Chi Li","orcid":"https://orcid.org/0000-0003-4527-9730"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Chi Li","raw_affiliation_strings":["Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015401663","display_name":"Cheng Chang-yu","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chang-Yu Cheng","raw_affiliation_strings":["Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065294186","display_name":"Chia-Hui Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hui Chou","raw_affiliation_strings":["Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067880192","display_name":"Chien\u2010Chang Hsu","orcid":"https://orcid.org/0000-0002-1714-9122"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Chang Hsu","raw_affiliation_strings":["Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068173678","display_name":"Meng\u2010Lin Chang","orcid":"https://orcid.org/0000-0001-6215-7650"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Lin Chang","raw_affiliation_strings":["Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University,New Taipei City,Taiwan","Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067493117","display_name":"Yi-Shiuan Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Shiuan Chiu","raw_affiliation_strings":["Fu Jen Catholic University,Department of Psychology,New Taipei City,Taiwan","Department of Psychology, Fu Jen Catholic University, New Taipei City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fu Jen Catholic University,Department of Psychology,New Taipei City,Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Psychology, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055311303","display_name":"Jyh\u2010Wen Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyh-Wen Chai","raw_affiliation_strings":["Taichung Veterans General Hospital,Department of Radiology,Taichung,Taiwan","Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taichung Veterans General Hospital,Department of Radiology,Taichung,Taiwan","institution_ids":["https://openalex.org/I4210091773"]},{"raw_affiliation_string":"Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210091773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19560743,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6711568236351013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6525102257728577},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6089865565299988},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.6061082482337952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5892633199691772},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5819598436355591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5599770545959473},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5342522859573364},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.46923452615737915},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.42364802956581116},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.42319682240486145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39918363094329834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33687537908554077},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2662374973297119},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.16447597742080688},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11997798085212708},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.07881784439086914}],"concepts":[{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6711568236351013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6525102257728577},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6089865565299988},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6061082482337952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5892633199691772},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5819598436355591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5599770545959473},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5342522859573364},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.46923452615737915},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.42364802956581116},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.42319682240486145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39918363094329834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33687537908554077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2662374973297119},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.16447597742080688},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11997798085212708},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.07881784439086914}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967739245","https://openalex.org/W1983183519","https://openalex.org/W1988746509","https://openalex.org/W1996954170","https://openalex.org/W2063404606","https://openalex.org/W2166109328","https://openalex.org/W2363249082","https://openalex.org/W2526511911","https://openalex.org/W2552208519","https://openalex.org/W2579617530","https://openalex.org/W2899955724"],"related_works":["https://openalex.org/W2601707947","https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W4401572343","https://openalex.org/W2168298321","https://openalex.org/W3195257268","https://openalex.org/W1981468049","https://openalex.org/W2371524820"],"abstract_inverted_index":{"Resting-state":[0],"functional":[1,22,47,53],"connectivity":[2,48,88,149],"analyses":[3],"have":[4],"revealed":[5],"a":[6,59,94,141],"significant":[7],"effect":[8],"on":[9,20,46,81,107],"the":[10,33,77,100,104,111,133,148,169],"inter-regional":[11],"interactions":[12],"in":[13,63,71,90,114],"brain.":[14],"The":[15,40,160],"brain":[16,35,41],"age":[17,42,72,143,175],"prediction":[18,43,98,134],"based":[19,45,106],"resting-state":[21,52],"magnetic":[23,54],"resonance":[24,55],"imaging":[25,56],"has":[26,57],"been":[27],"proved":[28],"as":[29],"biomarkers":[30],"to":[31,67,85,92],"characterize":[32],"typical":[34],"development":[36],"and":[37],"neuropsychiatric":[38],"disorders.":[39],"model":[44,96,171],"measurements":[49],"derived":[50],"from":[51],"received":[58],"lots":[60],"of":[61,76],"interest":[62],"recent":[64,78],"years":[65],"due":[66],"its":[68],"great":[69],"success":[70],"prediction.":[73],"However,":[74],"some":[75,118],"studies":[79,116],"rely":[80],"experienced":[82],"neuroscientist":[83],"experts":[84],"select":[86],"appropriate":[87],"features":[89,105,150,168],"order":[91],"build":[93],"robust":[95],"for":[97],"while":[99],"others":[101],"just":[102],"selected":[103,151,167],"trial-and-error":[108],"test.":[109],"Besides,":[110],"subjects":[112,119],"used":[113],"this":[115,137],"omitted":[117],"that":[120,164],"can":[121],"be":[122],"divided":[123],"into":[124],"two":[125],"groups":[126],"with":[127,147,155,165],"less":[128],"similarity":[129],"which":[130],"may":[131],"confused":[132],"model.":[135],"In":[136],"study,":[138],"we":[139],"proposed":[140,170],"multi-class":[142,174],"categories":[144],"discrimination":[145],"method":[146],"via":[152],"K-means":[153,166],"clustering":[154],"no":[156],"prior":[157],"knowledge":[158],"provided.":[159],"experimental":[161],"results":[162],"show":[163],"better":[172],"discriminate":[173],"categories.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}