{"id":"https://openalex.org/W2980120625","doi":"https://doi.org/10.1109/embc.2019.8856753","title":"Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations","display_name":"Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980120625","doi":"https://doi.org/10.1109/embc.2019.8856753","mag":"2980120625","pmid":"https://pubmed.ncbi.nlm.nih.gov/31947235"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8856753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5045470122","display_name":"Keyuan Jiang","orcid":"https://orcid.org/0000-0002-1565-3202"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keyuan Jiang","raw_affiliation_strings":["Purdue University Northwest, Hammond, IN, 46323, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Northwest, Hammond, IN, 46323, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011557194","display_name":"Tingyu Chen","orcid":"https://orcid.org/0000-0001-6339-5503"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingyu Chen","raw_affiliation_strings":["Purdue University Northwest, Hammond, IN, 46323, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Northwest, Hammond, IN, 46323, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041560944","display_name":"Ricardo A. Calix","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ricardo A. Calix","raw_affiliation_strings":["Purdue University Northwest, Hammond, IN, 46323, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University Northwest, Hammond, IN, 46323, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052393113","display_name":"Gordon R. Bernard","orcid":"https://orcid.org/0000-0002-4721-3068"},"institutions":[{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon R. Bernard","raw_affiliation_strings":["Vanderbilt University Medical Center, Nashville, TN, 37232, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University Medical Center, Nashville, TN, 37232, USA","institution_ids":["https://openalex.org/I901861585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6473,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84485488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":null,"first_page":"6093","last_page":"6096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9940000176429749,"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":0.9940000176429749,"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/T10028","display_name":"Topic Modeling","score":0.9846000075340271,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9799000024795532,"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/computer-science","display_name":"Computer science","score":0.734890341758728},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6681862473487854},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6157834529876709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4389197826385498},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34825414419174194},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19375744462013245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734890341758728},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6681862473487854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6157834529876709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4389197826385498},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34825414419174194},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19375744462013245},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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},{"descriptor_ui":"D060735","descriptor_name":"Pharmacovigilance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060735","descriptor_name":"Pharmacovigilance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060735","descriptor_name":"Pharmacovigilance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":2,"locations":[{"id":"doi:10.1109/embc.2019.8856753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31947235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31947235","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3399524715","display_name":null,"funder_award_id":"R15 LM011999","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W177032395","https://openalex.org/W1516454406","https://openalex.org/W1614298861","https://openalex.org/W1809871100","https://openalex.org/W2007138823","https://openalex.org/W2136400720","https://openalex.org/W2250539671","https://openalex.org/W2493916176","https://openalex.org/W2517596842","https://openalex.org/W2773944021","https://openalex.org/W2807470877","https://openalex.org/W2896457183","https://openalex.org/W2904090509","https://openalex.org/W2963341956","https://openalex.org/W6636510571","https://openalex.org/W6755207826","https://openalex.org/W6757014206"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W3204019825","https://openalex.org/W2296205523"],"abstract_inverted_index":{"Continuous":[0],"monitoring":[1],"the":[2,21,24,90,134],"safe":[3],"use":[4],"of":[5,16,23,41,68,146],"medication":[6,17,147],"is":[7,53],"an":[8],"important":[9],"task":[10,56],"in":[11,49,57,84,141],"pharmacovigilance.":[12],"The":[13],"first-hand":[14],"experiences":[15],"effects":[18],"come":[19],"from":[20,78],"consumers":[22],"pharmaceuticals.":[25],"Social":[26],"media":[27,51],"have":[28],"been":[29],"considered":[30],"as":[31],"a":[32,54,66],"possible":[33],"alternative":[34],"data":[35,52,130],"source":[36],"for":[37],"gathering":[38],"consumer-generated":[39],"information":[40],"their":[42],"experience":[43,48,71,144],"with":[44,102],"medications.":[45],"Identifying":[46],"personal":[47,70,143],"social":[50],"challenging":[55],"natural":[58],"language":[59],"processing.":[60],"In":[61],"this":[62],"study,":[63],"we":[64],"investigated":[65],"method":[67],"predicating":[69],"tweets":[72,106,145],"using":[73],"Google's":[74,120],"Bidirectional":[75],"Encoder":[76],"Representations":[77],"Transformers":[79],"(BERT)":[80],"and":[81,97],"neural":[82],"networks,":[83],"which":[85],"BERT":[86,95,99,115,135],"models":[87,96,122],"contextually":[88],"represented":[89],"tweet":[91],"text.":[92],"Both":[93],"pre-trained":[94,121],"our":[98,113],"model":[100,116,136],"trained":[101,114],"3.2":[103],"million":[104],"unlabeled":[105],"were":[107],"examined.":[108],"Our":[109],"results":[110],"show":[111],"that":[112,128],"performs":[117],"better":[118,138],"than":[119],"(p":[123],"<;":[124],"0.01).":[125],"This":[126],"suggests":[127],"domain-specific":[129],"may":[131],"contribute":[132],"to":[133],"yielding":[137],"classification":[139],"performance":[140],"predicting":[142],"use.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-10-18T00:00:00"}