{"id":"https://openalex.org/W4387737913","doi":"https://doi.org/10.3390/s23208544","title":"Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients","display_name":"Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387737913","doi":"https://doi.org/10.3390/s23208544","pmid":"https://pubmed.ncbi.nlm.nih.gov/37896636"},"language":"en","primary_location":{"id":"doi:10.3390/s23208544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208544","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8544/pdf?version=1697611690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/20/8544/pdf?version=1697611690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064167751","display_name":"Taek Lee","orcid":"https://orcid.org/0000-0003-2277-8211"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taek Lee","raw_affiliation_strings":["Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea","institution_ids":["https://openalex.org/I51926615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079162930","display_name":"Heon\u2010Jeong Lee","orcid":"https://orcid.org/0000-0002-9560-2383"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heon-Jeong Lee","raw_affiliation_strings":["Department of Psychiatry, Korea University College of Medicine, Seoul 02841, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Korea University College of Medicine, Seoul 02841, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004093779","display_name":"Jung-Been Lee","orcid":"https://orcid.org/0000-0002-8208-0387"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung-Been Lee","raw_affiliation_strings":["Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8208-0387","affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea","institution_ids":["https://openalex.org/I51926615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054412359","display_name":"Jeong\u2010Dong Kim","orcid":"https://orcid.org/0000-0002-5113-221X"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Dong Kim","raw_affiliation_strings":["Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5113-221X","affiliations":[{"raw_affiliation_string":"Division of Computer Science and Engineering, College of Software and Convergence, Sun Moon University, Asan 31460, Republic of Korea","institution_ids":["https://openalex.org/I51926615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064167751"],"corresponding_institution_ids":["https://openalex.org/I51926615"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.0228,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76502565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"23","issue":"20","first_page":"8544","last_page":"8544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9991000294685364,"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":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/machine-learning","display_name":"Machine learning","score":0.5936582684516907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5719902515411377},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5646820664405823},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5190423130989075},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.48372653126716614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.481080025434494},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.46163153648376465},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.45934635400772095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4135347604751587},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.41164064407348633},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2923091650009155},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.19611814618110657},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1807120144367218}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5936582684516907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5719902515411377},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5646820664405823},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5190423130989075},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.48372653126716614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.481080025434494},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.46163153648376465},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.45934635400772095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4135347604751587},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.41164064407348633},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2923091650009155},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.19611814618110657},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1807120144367218},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002940","descriptor_name":"Circadian Rhythm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","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":"D008603","descriptor_name":"Mental Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008603","descriptor_name":"Mental Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008603","descriptor_name":"Mental Health","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}],"locations_count":4,"locations":[{"id":"doi:10.3390/s23208544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208544","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8544/pdf?version=1697611690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37896636","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37896636","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10611007","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10611007","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10611007/pdf/sensors-23-08544.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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6bcc2ddf81384b658f67e1b4205d5ecb","is_oa":true,"landing_page_url":"https://doaj.org/article/6bcc2ddf81384b658f67e1b4205d5ecb","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":"Sensors, Vol 23, Iss 20, p 8544 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23208544","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208544","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8544/pdf?version=1697611690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321340","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387737913.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W97568584","https://openalex.org/W2013987967","https://openalex.org/W2045566047","https://openalex.org/W2047161421","https://openalex.org/W2065864529","https://openalex.org/W2112400936","https://openalex.org/W2117645142","https://openalex.org/W2125838338","https://openalex.org/W2126593985","https://openalex.org/W2128840685","https://openalex.org/W2142804745","https://openalex.org/W2152423878","https://openalex.org/W2153474070","https://openalex.org/W2163046703","https://openalex.org/W2171436624","https://openalex.org/W2396421862","https://openalex.org/W2510503065","https://openalex.org/W2517423044","https://openalex.org/W2605108175","https://openalex.org/W2611552941","https://openalex.org/W2622365670","https://openalex.org/W2755937803","https://openalex.org/W2793280115","https://openalex.org/W3037651932","https://openalex.org/W3097867808","https://openalex.org/W3129747896","https://openalex.org/W4210847527","https://openalex.org/W4225380790","https://openalex.org/W4281750093","https://openalex.org/W4296802028","https://openalex.org/W4318777968","https://openalex.org/W4321615196","https://openalex.org/W4365814503","https://openalex.org/W4385693906","https://openalex.org/W6603931332"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2735765216","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2294335174","https://openalex.org/W3191198889","https://openalex.org/W2802491896"],"abstract_inverted_index":{"Managing":[0],"mood":[1],"disorders":[2],"poses":[3],"challenges":[4],"in":[5,79,125,148],"counseling":[6],"and":[7,21,36,46,56,70,105,116,180],"drug":[8],"treatment,":[9],"owing":[10],"to":[11,111,190],"limitations.":[12],"Counseling":[13],"is":[14,32],"the":[15,22,47,73,113,120,126,142,149,155,166,187,192,198],"most":[16],"effective":[17],"during":[18],"hospital":[19],"visits,":[20],"side":[23],"effects":[24],"of":[25,43,49,75,122,141,151,165,194,221],"drugs":[26],"can":[27,53,83,185],"be":[28,84],"burdensome.":[29],"Patient":[30],"empowerment":[31],"crucial":[33],"for":[34],"understanding":[35],"managing":[37],"these":[38],"triggers.":[39],"The":[40,129,138],"daily":[41],"monitoring":[42],"mental":[44],"health":[45],"utilization":[48],"episode":[50,153],"prediction":[51,74,139,150],"tools":[52],"enable":[54],"self-management":[55],"provide":[57],"doctors":[58],"with":[59,81],"insights":[60],"into":[61,134],"worsening":[62],"lifestyle":[63],"patterns.":[64],"In":[65],"this":[66],"study,":[67],"we":[68],"test":[69],"validate":[71],"whether":[72],"future":[76],"depressive":[77,123],"episodes":[78,124],"individuals":[80],"depression":[82],"achieved":[85],"by":[86],"using":[87],"lifelog":[88],"sequence":[89,175],"data":[90,115,174,178,215],"collected":[91],"from":[92,212],"digital":[93],"device":[94],"sensors.":[95],"Diverse":[96],"models":[97,130],"such":[98,172],"as":[99,173],"random":[100],"forest,":[101],"hidden":[102],"Markov":[103],"model,":[104],"recurrent":[106],"neural":[107],"network":[108],"were":[109,131],"used":[110],"analyze":[112],"time-series":[114],"make":[117],"predictions":[118],"about":[119],"occurrence":[121],"near":[127],"future.":[128],"then":[132],"combined":[133],"a":[135,218],"hybrid":[136,143],"model.":[137,168],"accuracy":[140],"model":[144,188,199],"was":[145,158],"0.78;":[146],"especially":[147,204],"rare":[152],"events,":[154],"F1-score":[156],"performance":[157,189],"approximately":[159],"1.88":[160],"times":[161],"higher":[162],"than":[163],"that":[164,184,196],"dummy":[167],"We":[169],"explored":[170],"factors":[171],"size,":[176],"train-to-test":[177],"ratio,":[179],"class-labeling":[181],"time":[182],"slots":[183],"affect":[186],"determine":[191],"combinations":[193],"parameters":[195],"optimize":[197],"performance.":[200],"Our":[201],"findings":[202],"are":[203,208],"valuable":[205],"because":[206],"they":[207],"experimental":[209],"results":[210],"derived":[211],"large-scale":[213],"participant":[214],"analyzed":[216],"over":[217],"long":[219],"period":[220],"time.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
