{"id":"https://openalex.org/W4401247451","doi":"https://doi.org/10.1109/jcsse61278.2024.10613729","title":"BERT Based Model for Robust Mental Health Analysis in Clinical Informatics","display_name":"BERT Based Model for Robust Mental Health Analysis in Clinical Informatics","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4401247451","doi":"https://doi.org/10.1109/jcsse61278.2024.10613729"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse61278.2024.10613729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse61278.2024.10613729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042846465","display_name":"Akshat Gaurav","orcid":"https://orcid.org/0000-0002-5796-9424"},"institutions":[{"id":"https://openalex.org/I4210147267","display_name":"Ronin Institute","ror":"https://ror.org/04awze035","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210147267"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshat Gaurav","raw_affiliation_strings":["Ronin Institute, Montclair,New Jersey,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ronin Institute, Montclair,New Jersey,United States","institution_ids":["https://openalex.org/I4210147267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071261948","display_name":"Brij B. Gupta","orcid":"https://orcid.org/0000-0003-4929-4698"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Brij B. Gupta","raw_affiliation_strings":["Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia University,Department of Computer Science and Information Engineering,Taichung,Taiwan","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086102702","display_name":"Kwok Tai Chui","orcid":"https://orcid.org/0000-0001-7992-9901"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok Tai Chui","raw_affiliation_strings":["Hong Kong Metropolitan University (HKMU),Kowloon,Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Metropolitan University (HKMU),Kowloon,Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.5443999767303467,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.5443999767303467,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530164480209351},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.6516278982162476},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.632150411605835},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.4179037809371948},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3564457893371582},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2054823637008667},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14936530590057373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13522928953170776},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.11142846941947937},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.10849252343177795},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.08026960492134094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530164480209351},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.6516278982162476},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.632150411605835},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.4179037809371948},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3564457893371582},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2054823637008667},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14936530590057373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13522928953170776},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.11142846941947937},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10849252343177795},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.08026960492134094},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse61278.2024.10613729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse61278.2024.10613729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1905621492","https://openalex.org/W2092389497","https://openalex.org/W2562005987","https://openalex.org/W2625297218","https://openalex.org/W2631386570","https://openalex.org/W2897166406","https://openalex.org/W2936386149","https://openalex.org/W2959250831","https://openalex.org/W2973946059","https://openalex.org/W2998524244","https://openalex.org/W3010259684","https://openalex.org/W3038294214","https://openalex.org/W3045907976","https://openalex.org/W3185800440","https://openalex.org/W3211798800","https://openalex.org/W4205466761","https://openalex.org/W4213210606","https://openalex.org/W4213279587","https://openalex.org/W4214512008","https://openalex.org/W4214587361","https://openalex.org/W4283780901","https://openalex.org/W4285232663","https://openalex.org/W4292549401","https://openalex.org/W4312509398","https://openalex.org/W4385496900","https://openalex.org/W4390570801","https://openalex.org/W4392248305"],"related_works":["https://openalex.org/W2397677514","https://openalex.org/W2914293784","https://openalex.org/W2407382301","https://openalex.org/W1495820741","https://openalex.org/W4323056170","https://openalex.org/W2126732312","https://openalex.org/W2401910071","https://openalex.org/W2189429352","https://openalex.org/W4302329558","https://openalex.org/W1971571384"],"abstract_inverted_index":{"In":[0],"the":[1,55,76,100,117],"domain":[2],"of":[3,8,51,69,87,112,120],"healthcare":[4],"informatics,":[5],"precise":[6],"analysis":[7],"patient":[9,52],"language":[10,122],"is":[11],"essential":[12],"for":[13],"assessing":[14],"mental":[15,70,113],"health.":[16],"Traditional":[17],"methodologies":[18],"often":[19],"necessitate":[20],"intricate":[21],"feature":[22],"engineering":[23],"and":[24,85,109],"are":[25],"limited":[26],"by":[27],"computational":[28],"constraints.":[29],"This":[30],"paper":[31],"presents":[32],"a":[33,47,82,89,105,110],"BERT":[34,77],"(Bidirectional":[35],"Encoder":[36],"Representations":[37],"from":[38],"Transformers)":[39],"based":[40],"model":[41,62],"that":[42],"transcends":[43],"these":[44],"limitations,":[45],"providing":[46],"nuanced":[48,66],"sentiment":[49],"classification":[50],"speech.":[53],"Employing":[54],"expansive":[56],"Kaggle":[57],"Mental":[58],"Health":[59],"Corpus,":[60],"our":[61],"adeptly":[63],"differentiates":[64],"between":[65],"linguistic":[67],"indicators":[68],"health":[71,114],"conditions.":[72],"Comparative":[73],"results":[74],"illustrate":[75],"model's":[78,101],"superior":[79],"performance,":[80],"achieving":[81],"notable":[83],"accuracy":[84],"F1-score":[86],"0.92,":[88],"significant":[90],"improvement":[91],"over":[92],"traditional":[93],"machine":[94],"learning":[95],"counterparts.":[96],"These":[97],"findings":[98],"underscore":[99],"potential":[102],"as":[103],"both":[104],"clinical":[106],"diagnostic":[107],"aid":[108],"predictor":[111],"trends,":[115],"evidencing":[116],"transformative":[118],"impact":[119],"natural":[121],"processing":[123],"in":[124],"healthcare.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
