{"id":"https://openalex.org/W4389543596","doi":"https://doi.org/10.1109/ichi57859.2023.00034","title":"Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision","display_name":"Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4389543596","doi":"https://doi.org/10.1109/ichi57859.2023.00034"},"language":"en","primary_location":{"id":"doi:10.1109/ichi57859.2023.00034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi57859.2023.00034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)","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/A5110049408","display_name":"Kurt Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kurt Miller","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014075297","display_name":"Bhavani Singh Agnikula Kshatriya","orcid":"https://orcid.org/0000-0003-1594-5632"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhavani Singh Agnikula Kshatriya","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081972371","display_name":"Nicol\u00e1s A. N\u00fa\u00f1ez","orcid":"https://orcid.org/0000-0003-0404-3529"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas A Nunez","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076427138","display_name":"Manuel Gardea\u2010Resendez","orcid":"https://orcid.org/0000-0002-9825-8792"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manuel Gardea-Resendez","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052975209","display_name":"Euijung Ryu","orcid":"https://orcid.org/0000-0001-6281-8738"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Euijung Ryu","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045749576","display_name":"Brandon J. Coombes","orcid":"https://orcid.org/0000-0003-4322-5923"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon J Coombes","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032226587","display_name":"Sunyang Fu","orcid":"https://orcid.org/0000-0003-1691-5179"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunyang Fu","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029433360","display_name":"Mark A. Frye","orcid":"https://orcid.org/0000-0001-6997-4215"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Frye","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050515785","display_name":"Joanna M. Biernacka","orcid":"https://orcid.org/0000-0001-9350-4440"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joanna Biernacka","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010869663","display_name":"Ming Huang","orcid":"https://orcid.org/0000-0001-7367-3626"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Huang","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080116611","display_name":"Yanshan Wang","orcid":"https://orcid.org/0000-0003-4433-7839"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanshan Wang","raw_affiliation_strings":["Mayo Clinic,Rochester,MN,USA","Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Mayo Clinic,Rochester,MN,USA","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5110049408"],"corresponding_institution_ids":["https://openalex.org/I4210125099"],"apc_list":null,"apc_paid":null,"fwci":0.3503,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67320777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9979000091552734,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9973000288009644,"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/T12488","display_name":"Mental Health via Writing","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550534009933472},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7253202199935913},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.67690110206604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660419225692749},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6134337782859802},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6062610149383545},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5502620935440063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5143426656723022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550534009933472},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7253202199935913},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.67690110206604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660419225692749},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6134337782859802},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6062610149383545},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5502620935440063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5143426656723022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichi57859.2023.00034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi57859.2023.00034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1964625659","https://openalex.org/W2014096189","https://openalex.org/W2046186483","https://openalex.org/W2051512562","https://openalex.org/W2126719297","https://openalex.org/W2138162199","https://openalex.org/W2159583324","https://openalex.org/W2251247982","https://openalex.org/W2396881363","https://openalex.org/W2479263883","https://openalex.org/W2595551253","https://openalex.org/W2604610161","https://openalex.org/W2605671917","https://openalex.org/W2625967121","https://openalex.org/W2739887005","https://openalex.org/W2746791238","https://openalex.org/W2757884387","https://openalex.org/W2765441486","https://openalex.org/W2796615944","https://openalex.org/W2807669085","https://openalex.org/W2891383691","https://openalex.org/W2911489562","https://openalex.org/W2927032858","https://openalex.org/W2963716420","https://openalex.org/W2965166224","https://openalex.org/W2965373594","https://openalex.org/W2970641574","https://openalex.org/W2973197954","https://openalex.org/W2978017171","https://openalex.org/W2979826702","https://openalex.org/W2982597744","https://openalex.org/W3005056912","https://openalex.org/W3038098779","https://openalex.org/W3046375318","https://openalex.org/W3047797631","https://openalex.org/W3103981637","https://openalex.org/W3124523525","https://openalex.org/W3129922404","https://openalex.org/W3164323420","https://openalex.org/W4214584464","https://openalex.org/W4250526791","https://openalex.org/W4295807725","https://openalex.org/W4306955484","https://openalex.org/W4385163750","https://openalex.org/W4385573087","https://openalex.org/W6631190155","https://openalex.org/W6640904281","https://openalex.org/W6691500663","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6768851824","https://openalex.org/W6770292678","https://openalex.org/W6809143224"],"related_works":["https://openalex.org/W4281476908","https://openalex.org/W4288365749","https://openalex.org/W2936497627","https://openalex.org/W3013624417","https://openalex.org/W4287826556","https://openalex.org/W3098382480","https://openalex.org/W4287598411","https://openalex.org/W3094871513","https://openalex.org/W3100913109","https://openalex.org/W3198458223"],"abstract_inverted_index":{"Major":[0],"Depressive":[1],"Disorder":[2],"(MDD)":[3],"is":[4,220],"the":[5,11,140,189,200,226,229],"leading":[6],"cause":[7],"of":[8,23,80,92,142,157,228],"disability":[9],"in":[10,61,109],"world":[12],"and":[13,20,148,216],"its":[14],"prevalence":[15],"continues":[16],"to":[17,42,101,112,125],"increase.":[18],"Phenotyping":[19],"relevance":[21],"classification":[22],"prevalent":[24],"but":[25],"underdiagnosed":[26],"conditions":[27],"from":[28,73],"clinical":[29,45,54,110,185],"notes":[30],"using":[31,62,122],"Natural":[32],"Language":[33],"Processing":[34],"(NLP)":[35],"methods":[36],"has":[37],"been":[38],"an":[39,221],"effective":[40,222],"way":[41],"learn":[43],"valuable":[44],"insights":[46],"as":[47,49,69],"well":[48],"for":[50,83,129,134,152,192,224],"performance":[51,141],"on":[52,179,184],"multiple":[53],"domain-specific":[55,87],"NLP":[56,59],"tasks.":[57,88],"Recent":[58],"advancements":[60],"self-supervision":[63],"techniques":[64],"with":[65,206],"transformer":[66,144,231],"architectures,":[67],"such":[68],"Bidirectional":[70],"Encoder":[71],"Representations":[72],"Transformers":[74],"(BERT),":[75],"pioneered":[76],"a":[77],"new":[78],"standard":[79],"contextual":[81],"representation":[82],"fine-tuning":[84,91],"models":[85,94,133],"toward":[86],"However,":[89],"supervised":[90],"neural":[93,201],"typically":[95],"requires":[96],"too":[97],"many":[98],"labeled":[99],"samples":[100],"feasibly":[102],"annotate":[103],"entirely":[104],"manually,":[105],"constricting":[106],"most":[107],"research":[108],"applications":[111],"shared,":[113],"general":[114],"purpose":[115],"datasets.":[116],"In":[117],"this":[118],"work,":[119],"we":[120],"propose":[121],"distant":[123,218],"supervision":[124,219],"generate":[126],"adequate":[127],"data":[128],"training":[130],"transformer-based":[131],"language":[132,202],"MDD-relatedness":[135],"sentence":[136],"classification.":[137],"We":[138],"evaluate":[139],"two":[143],"instances":[145],"-":[146,151],"BERT":[147,150,176],"Bio-clinical":[149],"classifying":[153],"sentences":[154],"into":[155],"one":[156],"four":[158],"classes":[159],"representing":[160],"different":[161],"MDD":[162],"concept":[163],"contexts,":[164],"then":[165,182],"compare":[166],"against":[167],"three":[168],"traditional":[169],"machine":[170],"learning":[171],"baseline":[172],"models.":[173,232],"The":[174],"Bio-Clinical":[175],"model,":[177],"pre-trained":[178],"biomedical":[180],"abstracts":[181],"further":[183],"domain":[186],"corpora,":[187],"achieved":[188],"highest":[190],"F1-score":[191],"all":[193],"class":[194],"labels.":[195],"Our":[196],"results":[197],"show":[198],"that":[199,217],"models,":[203],"especially":[204],"those":[205],"relevant":[207],"domain-based":[208],"pretraining,":[209],"are":[210],"superior":[211],"at":[212],"discerning":[213],"semantic":[214],"contexts":[215],"tactic":[223],"improving":[225],"accuracy":[227],"pretrained":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
