{"id":"https://openalex.org/W4390992289","doi":"https://doi.org/10.1109/bibm58861.2023.10385480","title":"Enhancing Depression Detection from Narrative Interviews Using Language Models","display_name":"Enhancing Depression Detection from Narrative Interviews Using Language Models","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390992289","doi":"https://doi.org/10.1109/bibm58861.2023.10385480"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5113099202","display_name":"Palak Sood","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Palak Sood","raw_affiliation_strings":["Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038555998","display_name":"Xinming Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinming Yang","raw_affiliation_strings":["Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338623","display_name":"Ping Wang","orcid":"https://orcid.org/0000-0002-0379-9183"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping Wang","raw_affiliation_strings":["Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Dept. of Computer Science,Hoboken,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Computer Science, Stevens Institute of Technology, Hoboken, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113099202"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":2.0741,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87537902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3173","last_page":"3180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9898999929428101,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6606420278549194},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.6007566452026367},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5906915664672852},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5625482797622681},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4989335536956787},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.46700677275657654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4527356028556824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44247063994407654},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41212090849876404},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4105975031852722},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37525540590286255},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3278961181640625},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31410831212997437},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2313239872455597},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.14913290739059448},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12923768162727356},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08832436800003052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6606420278549194},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.6007566452026367},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5906915664672852},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5625482797622681},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4989335536956787},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.46700677275657654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4527356028556824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44247063994407654},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41212090849876404},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4105975031852722},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37525540590286255},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3278961181640625},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31410831212997437},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2313239872455597},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.14913290739059448},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12923768162727356},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08832436800003052},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1638925011","https://openalex.org/W2095176743","https://openalex.org/W2529925562","https://openalex.org/W2771976988","https://openalex.org/W2784194212","https://openalex.org/W2896457183","https://openalex.org/W2949299266","https://openalex.org/W2964262738","https://openalex.org/W2965373594","https://openalex.org/W2969322340","https://openalex.org/W3024012392","https://openalex.org/W3026338371","https://openalex.org/W3093871477","https://openalex.org/W3096701821","https://openalex.org/W3104982372","https://openalex.org/W3175502681","https://openalex.org/W3204999449","https://openalex.org/W4214576234","https://openalex.org/W4224924082","https://openalex.org/W4225304582","https://openalex.org/W4304208177","https://openalex.org/W4308222502","https://openalex.org/W4312788611","https://openalex.org/W4318186137","https://openalex.org/W4321636274","https://openalex.org/W4323520657","https://openalex.org/W6691669583","https://openalex.org/W6713134421","https://openalex.org/W6763572160","https://openalex.org/W6766673545","https://openalex.org/W6784447870","https://openalex.org/W6797211622"],"related_works":["https://openalex.org/W2348886128","https://openalex.org/W2388067091","https://openalex.org/W2367656648","https://openalex.org/W2350200549","https://openalex.org/W2362132076","https://openalex.org/W2965396777","https://openalex.org/W2389168924","https://openalex.org/W2067294484","https://openalex.org/W4280593102","https://openalex.org/W2170000670"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,18,24,94,116,121,135,142,163],"prevalence":[4],"of":[5,20,27,67,123,145,169],"mental":[6,38],"health":[7,39],"issues":[8],"among":[9],"young":[10],"people":[11],"has":[12,32],"significantly":[13],"increased,":[14],"especially":[15],"due":[16,41],"to":[17,42],"consequences":[19],"COVID-19":[21],"pandemic":[22],"and":[23,64,99,155,166],"widespread":[25],"adoption":[26],"remote":[28],"work":[29],"arrangements.":[30],"Depression":[31],"emerged":[33],"as":[34,58],"a":[35,80],"major":[36],"global":[37],"concern":[40],"its":[43],"potentially":[44],"devastating":[45],"consequences.":[46],"However,":[47],"existing":[48,91],"methods":[49,114],"for":[50,85,152,173],"depression":[51,86,156,174],"detection":[52,87,175],"still":[53],"face":[54],"several":[55,129],"challenges,":[56,73],"such":[57],"limited":[59],"data":[60],"availability,":[61],"imbalanced":[62],"labels,":[63],"inadequate":[65],"consideration":[66],"contextual":[68],"information.":[69],"To":[70,119],"tackle":[71],"these":[72],"in":[74,93,132],"this":[75],"paper,":[76],"we":[77,127,140],"first":[78],"create":[79],"larger":[81],"dataset,":[82],"namely":[83],"I-DAIC,":[84],"by":[88,106],"integrating":[89],"three":[90],"datasets":[92],"literature.":[95],"We":[96],"further":[97],"fine-tune":[98],"examine":[100],"two":[101,110],"pre-trained":[102,170],"transformer-based":[103],"language":[104,137,171],"models":[105,172],"comparing":[107],"them":[108],"with":[109,134,176],"traditional":[111],"machine":[112],"learning":[113],"on":[115],"I-DAIC":[117],"dataset.":[118],"overcome":[120],"difficulty":[122],"handling":[124],"lengthy":[125],"texts,":[126],"explore":[128],"customized":[130],"strategies":[131],"combination":[133],"advanced":[136],"models.":[138],"Moreover,":[139],"conducted":[141],"quantitative":[143],"analysis":[144],"key":[146],"representative":[147],"keywords":[148],"using":[149],"topic":[150],"modeling":[151],"both":[153],"non-depression":[154],"instances.":[157],"The":[158],"comprehensive":[159],"experimental":[160],"results":[161],"demonstrated":[162],"effectiveness,":[164],"advantages,":[165],"significant":[167],"potential":[168],"narrative":[177],"interviews.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}