{"id":"https://openalex.org/W4396730716","doi":"https://doi.org/10.1093/jamia/ocae118","title":"Streamlining social media information retrieval for public health research with deep learning","display_name":"Streamlining social media information retrieval for public health research with deep learning","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396730716","doi":"https://doi.org/10.1093/jamia/ocae118","pmid":"https://pubmed.ncbi.nlm.nih.gov/38718216"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocae118","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae118","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11187427/pdf/ocae118.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081953757","display_name":"Yining Hua","orcid":"https://orcid.org/0000-0001-7779-1208"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yining Hua","raw_affiliation_strings":["Department of Biomedical Informatics, Harvard Medical School , Boston, MA 02115, United States","Department of Epidemiology, Harvard Chan School of Public Health , Boston, MA 02115, United States","Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States"],"raw_orcid":"https://orcid.org/0000-0001-7779-1208","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Harvard Medical School , Boston, MA 02115, United States","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Department of Epidemiology, Harvard Chan School of Public Health , Boston, MA 02115, United States","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032723793","display_name":"Jiageng Wu","orcid":"https://orcid.org/0000-0003-0984-0818"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiageng Wu","raw_affiliation_strings":["School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088551332","display_name":"Shixu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixu Lin","raw_affiliation_strings":["School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400064","display_name":"Minghui Li","orcid":"https://orcid.org/0000-0003-3673-5925"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Li","raw_affiliation_strings":["School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603658","display_name":"Yujie Zhang","orcid":"https://orcid.org/0000-0002-5524-2790"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhang","raw_affiliation_strings":["School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Zhejiang University School of Medicine , Hangzhou, Zhejiang, 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062765086","display_name":"Dinah Foer","orcid":"https://orcid.org/0000-0002-0717-5714"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinah Foer","raw_affiliation_strings":["Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053709885","display_name":"Siwen Wang","orcid":"https://orcid.org/0000-0002-5605-2016"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siwen Wang","raw_affiliation_strings":["Department of Epidemiology, Harvard Chan School of Public Health , Boston, MA 02115, United States"],"raw_orcid":"https://orcid.org/0000-0002-5605-2016","affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Harvard Chan School of Public Health , Boston, MA 02115, United States","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116559848","display_name":"Peilin Zhou","orcid":"https://orcid.org/0000-0001-6763-5236"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peilin Zhou","raw_affiliation_strings":["Thrust of Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou) , Guangzhou, Guangdong, 511458, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thrust of Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou) , Guangzhou, Guangdong, 511458, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078108605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0001-5696-363X"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, MA 02120, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, MA 02120, United States","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016290671","display_name":"Li Zhou","orcid":"https://orcid.org/0000-0003-3874-4833"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Zhou","raw_affiliation_strings":["Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02145, United States","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016290671","https://openalex.org/A5078108605"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":4.6531,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94651009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"31","issue":"7","first_page":"1569","last_page":"1577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9624000191688538,"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":0.9624000191688538,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.0052999998442828655,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.004800000227987766,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.804377555847168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126736402511597},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5016462802886963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4959617555141449},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.463237464427948},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.452658087015152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42960837483406067},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39850953221321106},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26753073930740356},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1500483751296997},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.057765573263168335}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.804377555847168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126736402511597},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5016462802886963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4959617555141449},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.463237464427948},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.452658087015152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42960837483406067},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39850953221321106},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26753073930740356},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1500483751296997},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.057765573263168335},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011634","descriptor_name":"Public Health","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061108","descriptor_name":"Social Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1093/jamia/ocae118","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae118","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:38718216","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38718216","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 the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11187427","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11187427","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11187427/pdf/ocae118.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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-139744","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-139744","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11187427","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11187427","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11187427/pdf/ocae118.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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309369","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396730716.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2159583324","https://openalex.org/W2896457183","https://openalex.org/W2896794524","https://openalex.org/W3081158114","https://openalex.org/W3096403953","https://openalex.org/W3110062290","https://openalex.org/W3120829418","https://openalex.org/W3121430869","https://openalex.org/W3211908717","https://openalex.org/W4283747295","https://openalex.org/W4301392846","https://openalex.org/W4321484723","https://openalex.org/W4324148013","https://openalex.org/W4360765146","https://openalex.org/W4385240189","https://openalex.org/W4385764025","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4312622923"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Social":[1],"media-based":[2],"public":[3,207],"health":[4,208],"research":[5,209],"is":[6,188],"crucial":[7],"for":[8,115,216],"epidemic":[9],"surveillance,":[10],"but":[11],"most":[12],"studies":[13],"identify":[14],"relevant":[15],"corpora":[16],"with":[17],"keyword-matching.":[18],"This":[19,204],"study":[20,205],"develops":[21],"a":[22,39,72,91,121,131,212],"system":[23],"to":[24,61,77,86,98,126,130,153,170,239],"streamline":[25],"the":[26,35,112,147,151,234],"process":[27],"of":[28,52,164,236,246],"curating":[29,38,217],"colloquial":[30],"medical":[31,231,253],"dictionaries.":[32],"We":[33,138],"demonstrate":[34],"pipeline":[36,68,215],"by":[37,200,210,230],"Unified":[40,99],"Medical":[41,100],"Language":[42,101],"System":[43,102],"(UMLS)-colloquial":[44],"symptom":[45,122,143,218],"dictionary":[46,114,129,158,183],"from":[47,57,111,134,146,220],"COVID-19-related":[48,55],"tweets":[49,56],"as":[50],"proof":[51],"concept.":[53],"METHODS:":[54],"February":[58],"1,":[59],"2020,":[60],"April":[62],"30,":[63],"2022":[64],"were":[65,109],"used.":[66],"The":[67,156,224],"includes":[69],"three":[70],"modules:":[71],"named":[73],"entity":[74,83,107,144],"recognition":[75],"module":[76,85,93],"detect":[78],"symptoms":[79,165,186],"in":[80],"tweets;":[81],"an":[82],"normalization":[84],"aggregate":[87],"detected":[88],"entities;":[89],"and":[90,187,196,242,258],"mapping":[92],"that":[94,166,181],"iteratively":[95],"maps":[96],"entities":[97],"concepts.":[103],"A":[104],"random":[105],"500":[106],"samples":[108],"drawn":[110],"final":[113,157,225],"accuracy":[116],"validation.":[117],"Additionally,":[118],"we":[119],"conducted":[120],"frequency":[123],"distribution":[124,178],"analysis":[125,179],"compare":[127],"our":[128,182],"pre-defined":[132,201],"lexicon":[133],"previous":[135],"research.":[136],"RESULTS:":[137],"identified":[139],"498":[140],"480":[141],"unique":[142,162],"expressions":[145,163],"tweets.":[148],"Pre-processing":[149],"reduces":[150],"number":[152],"18":[154],"226.":[155],"contains":[159],"38":[160],"175":[161],"can":[167],"be":[168],"mapped":[169],"966":[171],"UMLS":[172],"concepts":[173],"(accuracy":[174],"=":[175],"95%).":[176],"Symptom":[177],"found":[180],"detects":[184],"more":[185],"effective":[189],"at":[190],"identifying":[191],"psychiatric":[192],"disorders":[193],"like":[194],"anxiety":[195],"depression,":[197],"often":[198],"missed":[199],"lexicons.":[202],"CONCLUSIONS:":[203],"advances":[206],"implementing":[211],"novel,":[213],"systematic":[214],"lexicons":[219],"social":[221,248],"media":[222,249],"data.":[223],"lexicon's":[226],"high":[227],"accuracy,":[228],"validated":[229],"professionals,":[232],"underscores":[233],"potential":[235],"this":[237],"methodology":[238],"reliably":[240],"interpret,":[241],"categorize":[243],"vast":[244],"amounts":[245],"unstructured":[247],"data":[250],"into":[251],"actionable":[252],"insights":[254],"across":[255],"diverse":[256],"linguistic":[257],"regional":[259],"landscapes.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}