{"id":"https://openalex.org/W7133308472","doi":"https://doi.org/10.1007/s10916-026-02354-9","title":"Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data","display_name":"Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133308472","doi":"https://doi.org/10.1007/s10916-026-02354-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/41774238"},"language":"en","primary_location":{"id":"doi:10.1007/s10916-026-02354-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-026-02354-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-026-02354-9.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10916-026-02354-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127943902","display_name":"Jaehoon Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehoon Ko","raw_affiliation_strings":["Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123772644","display_name":"Somin Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Somin Oh","raw_affiliation_strings":["Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105049960","display_name":"Doljinsuren Enkhbayar","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doljinsuren Enkhbayar","raw_affiliation_strings":["Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin-kyung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-kyung Lee","raw_affiliation_strings":["Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Poverty Alleviation and International Development, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058548885","display_name":"Moo-kwon Chung","orcid":"https://orcid.org/0000-0001-6222-1851"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moo-Kwon Chung","raw_affiliation_strings":["Department of Global Public Administration, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Global Public Administration, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Taeksoo Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeksoo Shin","raw_affiliation_strings":["Division of Business Administration, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Business Administration, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065518837","display_name":"M. Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Hyuk Kim","raw_affiliation_strings":["Department of Psychiatry, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057617802","display_name":"Hyo-Sang Lim","orcid":"https://orcid.org/0000-0002-4958-193X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyo-Sang Lim","raw_affiliation_strings":["Division of Software, Yonsei University, Wonju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Software, Yonsei University, Wonju, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124154868","display_name":"E. Urtnasan","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Erdenebayar Urtnasan","raw_affiliation_strings":["Division of AI Semiconductor, Yonsei University, Wonju, Republic of Korea. edenbyra@yonsei.ac.kr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of AI Semiconductor, Yonsei University, Wonju, Republic of Korea. edenbyra@yonsei.ac.kr","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105525443","display_name":"Jaehong Key","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaehong Key","raw_affiliation_strings":["Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea. jkey@yonsei.ac.kr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea. jkey@yonsei.ac.kr","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5105525443"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37056633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.5938000082969666,"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"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.5938000082969666,"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/T12488","display_name":"Mental Health via Writing","score":0.18279999494552612,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10316","display_name":"Sleep and related disorders","score":0.06509999930858612,"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/interpretability","display_name":"Interpretability","score":0.7631000280380249},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6686000227928162},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6492000222206116},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6388000249862671},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6096000075340271},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5288000106811523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5051000118255615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4799000024795532},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40950000286102295}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7800999879837036},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7631000280380249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956999897956848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6766999959945679},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6686000227928162},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6492000222206116},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6388000249862671},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6096000075340271},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5288000106811523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4799000024795532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.38089999556541443},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.32850000262260437},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C3019858935","wikidata":"https://www.wikidata.org/wiki/Q4340209","display_name":"Depressive symptoms","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2778996325","wikidata":"https://www.wikidata.org/wiki/Q422201","display_name":"Actigraphy","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10916-026-02354-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-026-02354-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-026-02354-9.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},{"id":"pmid:41774238","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41774238","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":"Journal of medical systems","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/s10916-026-02354-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-026-02354-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-026-02354-9.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Medical Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7548214197158813,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7133308472.pdf","grobid_xml":"https://content.openalex.org/works/W7133308472.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2118978333","https://openalex.org/W2132791018","https://openalex.org/W2896236534","https://openalex.org/W3028081629","https://openalex.org/W3087646545","https://openalex.org/W3133660108","https://openalex.org/W3165390445","https://openalex.org/W4297265271","https://openalex.org/W4311543603","https://openalex.org/W4322710313","https://openalex.org/W4322722012","https://openalex.org/W4378176788","https://openalex.org/W4384393657","https://openalex.org/W4385732922","https://openalex.org/W4387474062","https://openalex.org/W4389048029","https://openalex.org/W4391054800","https://openalex.org/W4391242251","https://openalex.org/W4391601981","https://openalex.org/W4391848979","https://openalex.org/W4392922283","https://openalex.org/W4393234693","https://openalex.org/W4405499124","https://openalex.org/W4406628263","https://openalex.org/W4406800692","https://openalex.org/W4407364480"],"related_works":[],"abstract_inverted_index":{"Early":[0],"detection":[1],"and":[2,21,38,62,79,136,156,162,169],"prediction":[3,160],"of":[4,54,128,158,166],"Depressive":[5],"Symptoms":[6],"is":[7],"essential":[8],"for":[9,175],"improving":[10],"mental":[11],"health":[12],"outcomes.":[13],"This":[14,149],"study":[15],"proposes":[16],"a":[17],"hybrid":[18,71],"deep":[19],"learning":[20,23,43],"machine":[22],"framework":[24,150],"that":[25,88,145],"utilizes":[26],"tabular":[27],"data":[28],"collected":[29],"from":[30],"wearable":[31],"devices,":[32],"including":[33],"sleep":[34,133],"patterns,":[35],"physical":[36],"activity,":[37],"health-related":[39],"indicators.":[40],"Three":[41],"ensemble":[42],"models":[44,72,89,161],"were":[45,73],"used":[46],"to":[47],"identify":[48],"influential":[49],"predictors":[50],"through":[51],"the":[52,66,98,110,126,153,164],"application":[53],"explainable":[55],"artificial":[56],"intelligence":[57],"techniques":[58],"such":[59,130],"as":[60,131,172],"SHAP":[61,123],"LIME.":[63],"Based":[64],"on":[65,91,118],"selected":[67,92,120],"important":[68],"features,":[69],"two":[70],"developed":[74],"combining":[75],"1D-Convolutional":[76],"Neural":[77],"Network":[78],"Multi-layer":[80],"Perceptron":[81],"with":[82,114],"LightGBM.":[83],"The":[84,102],"experimental":[85],"results":[86],"showed":[87],"trained":[90,117],"features":[93,119,129,171],"consistently":[94],"outperformed":[95],"those":[96],"using":[97],"full":[99],"feature":[100],"set.":[101],"highest":[103],"classification":[104],"accuracy,":[105],"93.43%,":[106],"was":[107],"achieved":[108],"by":[109,121],"multilayer":[111],"perceptron":[112],"model":[113],"LightGBM":[115],"when":[116],"XGBoost.":[122],"analysis":[124],"highlighted":[125],"importance":[127],"night":[132],"duration,":[134],"age,":[135],"income":[137],"responsibility,":[138],"while":[139],"LIME":[140],"provided":[141],"sample":[142],"specific":[143],"explanations":[144],"enhanced":[146],"local":[147],"interpretability.":[148],"enhances":[151],"both":[152],"predictive":[154],"performance":[155],"interpretability":[157],"depression":[159],"demonstrates":[163],"potential":[165],"wearable-derived":[167],"behavior":[168],"physiological":[170],"practical":[173],"biomarkers":[174],"personalized":[176],"risk":[177],"assessment.":[178]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-03-04T00:00:00"}
