{"id":"https://openalex.org/W3209790906","doi":"https://doi.org/10.1145/3472813.3472815","title":"Deep Stacked Generalization Ensemble Learning models in early diagnosis of Depression illness from wearable devices data","display_name":"Deep Stacked Generalization Ensemble Learning models in early diagnosis of Depression illness from wearable devices data","publication_year":2021,"publication_date":"2021-05-14","ids":{"openalex":"https://openalex.org/W3209790906","doi":"https://doi.org/10.1145/3472813.3472815","mag":"3209790906"},"language":"en","primary_location":{"id":"doi:10.1145/3472813.3472815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472813.3472815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Medical and Health Informatics","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/A5069084033","display_name":"Duc-Khanh Nguyen","orcid":"https://orcid.org/0000-0001-8388-7425"},"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":"Duc-Khanh Nguyen","raw_affiliation_strings":["Dept. of Information Management,Yuan Ze University,Taoyuan,Taiwan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management,Yuan Ze University,Taoyuan,Taiwan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083680938","display_name":"Chien\u2010Lung Chan","orcid":"https://orcid.org/0000-0002-7486-7075"},"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":"Chien-Lung Chan","raw_affiliation_strings":["Dept. of Information Management and Innovation Center for Big Data and Digital Convergence,Yuan Ze University,Taoyuan, Taiwan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management and Innovation Center for Big Data and Digital Convergence,Yuan Ze University,Taoyuan, Taiwan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062041997","display_name":"Ai\u2010Hsien Adams Li","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"]},{"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":"Ai-Hsien Adams Li","raw_affiliation_strings":["Far Eastern Memorial Hospital,Taipei 220,Taiwan and Yuan Ze University,Taoyuan,Taiwan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Far Eastern Memorial Hospital,Taipei 220,Taiwan and Yuan Ze University,Taoyuan,Taiwan, Taiwan","institution_ids":["https://openalex.org/I99908691","https://openalex.org/I4210102996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010168254","display_name":"Dinh\u2010Van Phan","orcid":"https://orcid.org/0000-0002-7015-1432"},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dinh-Van Phan","raw_affiliation_strings":["University of Economics and Teaching and Research Team for Business Intelligence, The University of Danang,Danang,Vietnam, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Economics and Teaching and Research Team for Business Intelligence, The University of Danang,Danang,Vietnam, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069084033"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":3.506,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92845866,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9961000084877014,"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/T13283","display_name":"Mental Health Research Topics","score":0.9961000084877014,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9607999920845032,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509280800819397},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6076567769050598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6051009893417358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5932326316833496},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5903124809265137},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5473943948745728},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5191863775253296},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5111125111579895},{"id":"https://openalex.org/keywords/bipolar-disorder","display_name":"Bipolar disorder","score":0.468278169631958},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4673360288143158},{"id":"https://openalex.org/keywords/mental-illness","display_name":"Mental illness","score":0.43855202198028564},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.42920365929603577},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31279420852661133},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.2196064293384552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15098777413368225},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.12329834699630737}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509280800819397},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6076567769050598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051009893417358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5932326316833496},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5903124809265137},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5473943948745728},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5191863775253296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5111125111579895},{"id":"https://openalex.org/C2776174506","wikidata":"https://www.wikidata.org/wiki/Q131755","display_name":"Bipolar disorder","level":3,"score":0.468278169631958},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4673360288143158},{"id":"https://openalex.org/C2776674806","wikidata":"https://www.wikidata.org/wiki/Q12135","display_name":"Mental illness","level":3,"score":0.43855202198028564},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42920365929603577},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31279420852661133},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.2196064293384552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15098777413368225},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.12329834699630737},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472813.3472815","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472813.3472815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4144046561","display_name":null,"funder_award_id":"MOST108-2221-E-155-019-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1536929369","https://openalex.org/W2242464395","https://openalex.org/W2274180408","https://openalex.org/W2411463310","https://openalex.org/W2610332124","https://openalex.org/W2765670329","https://openalex.org/W2915632744","https://openalex.org/W3004122363","https://openalex.org/W3109994403","https://openalex.org/W4234552385","https://openalex.org/W4241523755","https://openalex.org/W4243711164","https://openalex.org/W4249471917","https://openalex.org/W4300396499","https://openalex.org/W4365799815","https://openalex.org/W4402347445","https://openalex.org/W6608503352"],"related_works":["https://openalex.org/W2956125676","https://openalex.org/W4297999926","https://openalex.org/W2217154547","https://openalex.org/W2397288865","https://openalex.org/W4295846964","https://openalex.org/W2751598822","https://openalex.org/W3035328369","https://openalex.org/W3116052352","https://openalex.org/W2802444367","https://openalex.org/W3127599578"],"abstract_inverted_index":{"In":[0,55,222],"the":[1,10,17,72,113,121,124,138,159,175,178,186,197,202,206,261,289],"modern":[2],"world,":[3],"mental":[4,31,293],"health":[5,32,46,294],"disorder":[6,47],"is":[7,48],"one":[8],"of":[9,42,87,107,162,236,292],"serious":[11],"problems":[12],"for":[13,246,260,288],"every":[14],"nation":[15],"around":[16],"globe,":[18],"especially":[19,272],"in":[20,101,117],"this":[21,56],"Covid-19":[22],"pandemic":[23],"period.":[24],"These":[25],"illnesses":[26],"affect":[27],"not":[28],"only":[29],"patient's":[30],"but":[33],"also":[34,51],"physical":[35],"health,":[36],"thus,":[37],"reduce":[38],"productivity":[39],"and":[40,50,64,91,95,177,218,234,243,250,257],"quality":[41],"human":[43],"work.":[44],"Mental":[45],"complex":[49],"takes":[52],"many":[53,132],"forms.":[54],"study,":[57],"we":[58,111,130,142,170],"pay":[59],"attention":[60],"to":[61,119,136,154,157],"depression":[62],"(unipolar":[63,94],"bipolar)":[65,96],"illness.":[66],"We":[67,266],"conducted":[68],"our":[69],"experiment":[70],"on":[71,84],"open":[73],"dataset":[74,122],"named":[75],"Depresjon,":[76],"which":[77,151],"was":[78],"collected":[79],"from":[80,164,280],"activity":[81,276],"motion":[82,277],"signals":[83],"wearable":[85,281],"devices":[86,282],"32":[88],"healthy":[89],"people":[90],"23":[92],"depressed":[93],"patients":[97],"over":[98,215],"several":[99],"days":[100],"a":[102,105,172,285],"row":[103],"with":[104],"total":[106],"814":[108],"samples.":[109],"Firstly,":[110],"did":[112],"preprocessing":[114],"data":[115,279],"step":[116],"order":[118],"make":[120,137,158],"fitting":[123],"DL":[125,134,220],"model":[126],"input.":[127],"After":[128],"that,":[129],"deployed":[131],"individual":[133,166,176,193,198,217],"models":[135,150,188,225,274],"first":[139],"predictions.":[140],"Next,":[141],"generated":[143],"Deep":[144,270],"Stacked":[145],"Generalization":[146],"Ensemble":[147],"Learning":[148],"(DeSGEL)":[149],"were":[152],"able":[153],"learn":[155],"how":[156],"best":[160,203],"combination":[161],"predictions":[163],"previous":[165],"well-trained":[167],"models.":[168,181,194,221],"Finally,":[169],"made":[171],"comparison":[173],"among":[174,196],"proposed":[179],"DeSGEL":[180,187,207,262,273],"The":[182],"results":[183],"showed":[184,210],"that":[185,268],"had":[189,201,226],"outperformed":[190],"other":[191,216],"corresponding":[192],"Specifically,":[195],"models,":[199],"VGG16":[200,248],"performance.":[204],"However,":[205],"Resnet":[208,263],"based":[209,264],"an":[211],"extremely":[212],"outstanding":[213],"performance":[214],"ensemble":[219],"detail,":[223],"these":[224],"Accuracy,":[227],"Precision,":[228],"Sensitivity,":[229],"Specification,":[230],"F1":[231],"score,":[232],"MCC":[233],"AUC":[235],"0.94,":[237,255],"0.91,":[238],"0.89,":[239],"0.96,":[240,251,252],"0.90,":[241],"0.85":[242],"0.92":[244],"respectively":[245,259],"Individual":[247],"model,":[249],"0.92,":[253],"0.98,":[254],"0.91":[256],"0.95":[258],"model.":[265],"found":[267],"applying":[269],"learning,":[271],"using":[275],"signal":[278],"could":[283],"be":[284],"prospective":[286],"direction":[287],"early":[290],"diagnosis":[291],"disorders.":[295]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}