{"id":"https://openalex.org/W2007628554","doi":"https://doi.org/10.1145/2389707.2389713","title":"Towards large-scale twitter mining for drug-related adverse events","display_name":"Towards large-scale twitter mining for drug-related adverse events","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2007628554","doi":"https://doi.org/10.1145/2389707.2389713","mag":"2007628554","pmid":"https://pubmed.ncbi.nlm.nih.gov/28967001"},"language":"en","primary_location":{"id":"doi:10.1145/2389707.2389713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2389707.2389713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 international workshop on Smart health and wellbeing","raw_type":"proceedings-article"},"type":"article","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/A5030951014","display_name":"Jiang Bian","orcid":"https://orcid.org/0000-0002-2238-5429"},"institutions":[{"id":"https://openalex.org/I79620101","display_name":"University of Arkansas for Medical Sciences","ror":"https://ror.org/00xcryt71","country_code":"US","type":"education","lineage":["https://openalex.org/I79620101"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiang Bian","raw_affiliation_strings":["University of Arkansas for Medical Sciences, Little Rock, AR, USA","University of Arkansas for Medical Sciences Little Rock, AR, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas for Medical Sciences, Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]},{"raw_affiliation_string":"University of Arkansas for Medical Sciences Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023480695","display_name":"\u00dcmit Topalo\u011dlu","orcid":"https://orcid.org/0000-0002-3241-8773"},"institutions":[{"id":"https://openalex.org/I79620101","display_name":"University of Arkansas for Medical Sciences","ror":"https://ror.org/00xcryt71","country_code":"US","type":"education","lineage":["https://openalex.org/I79620101"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umit Topaloglu","raw_affiliation_strings":["University of Arkansas for Medical Sciences, Little Rock, AR, USA","University of Arkansas for Medical Sciences Little Rock, AR, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas for Medical Sciences, Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]},{"raw_affiliation_string":"University of Arkansas for Medical Sciences Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041280305","display_name":"Fan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I79620101","display_name":"University of Arkansas for Medical Sciences","ror":"https://ror.org/00xcryt71","country_code":"US","type":"education","lineage":["https://openalex.org/I79620101"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Yu","raw_affiliation_strings":["University of Arkansas for Medical Sciences, Little Rock, AR, USA","University of Arkansas for Medical Sciences Little Rock, AR, USA"],"affiliations":[{"raw_affiliation_string":"University of Arkansas for Medical Sciences, Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]},{"raw_affiliation_string":"University of Arkansas for Medical Sciences Little Rock, AR, USA","institution_ids":["https://openalex.org/I79620101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030951014"],"corresponding_institution_ids":["https://openalex.org/I79620101"],"apc_list":null,"apc_paid":null,"fwci":10.5874,"has_fulltext":false,"cited_by_count":253,"citation_normalized_percentile":{"value":0.99367756,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"2012","issue":null,"first_page":"25","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9819999933242798,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/pharmacovigilance","display_name":"Pharmacovigilance","score":0.912533164024353},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8187947869300842},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6734251379966736},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6655899286270142},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6135118007659912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111462712287903},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5666431784629822},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5623973608016968},{"id":"https://openalex.org/keywords/adverse-effect","display_name":"Adverse effect","score":0.4727367162704468},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.43259376287460327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3871573209762573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2915925979614258},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2521982192993164},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23634719848632812},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1332147717475891},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11095553636550903}],"concepts":[{"id":"https://openalex.org/C57658597","wikidata":"https://www.wikidata.org/wiki/Q1550789","display_name":"Pharmacovigilance","level":3,"score":0.912533164024353},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8187947869300842},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6734251379966736},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6655899286270142},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6135118007659912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111462712287903},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5666431784629822},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5623973608016968},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.4727367162704468},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.43259376287460327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871573209762573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2915925979614258},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2521982192993164},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23634719848632812},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1332147717475891},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11095553636550903},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2389707.2389713","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2389707.2389713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 international workshop on Smart health and wellbeing","raw_type":"proceedings-article"},{"id":"pmid:28967001","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28967001","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":"SHB'12 : proceedings of the 2012 ACM International Workshop on Smart Health and Wellbeing : October 29, 2012, Maui, Hawaii, USA. International Workshop on Smart Health and Wellbeing (2012 : Maui, Hawaii)","raw_type":null},{"id":"pmh:oai:europepmc.org:4539465","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5619871","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"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":27,"referenced_works":["https://openalex.org/W42186646","https://openalex.org/W138612281","https://openalex.org/W145028589","https://openalex.org/W201361503","https://openalex.org/W1484777458","https://openalex.org/W1550258693","https://openalex.org/W1563572320","https://openalex.org/W1569856620","https://openalex.org/W1590495275","https://openalex.org/W1684832230","https://openalex.org/W1976323204","https://openalex.org/W2008803468","https://openalex.org/W2062182717","https://openalex.org/W2087347434","https://openalex.org/W2109943925","https://openalex.org/W2115871101","https://openalex.org/W2119821739","https://openalex.org/W2120719282","https://openalex.org/W2122369144","https://openalex.org/W2126678013","https://openalex.org/W2142572836","https://openalex.org/W2153635508","https://openalex.org/W2165690041","https://openalex.org/W2279870858","https://openalex.org/W2315444358","https://openalex.org/W2465300039","https://openalex.org/W2930957955"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Drug-related":[0,12],"adverse":[1,13,29,72,103],"events":[2,14,30,104],"pose":[3,15],"substantial":[4,16],"risks":[5,17],"to":[6,18,87,97,118,126],"patients":[7,19],"who":[8,20],"consume":[9,21],"post-market":[10,22],"or":[11,23],"investigational":[24],"drugs.":[25],"Early":[26],"detection":[27,169],"of":[28,56,78,109,130,154,170],"benefits":[31],"not":[32],"only":[33],"the":[34,39,61,75,107,127,131,137,152],"drug":[35,99],"regulators,":[36],"but":[37],"also":[38],"manufacturers":[40],"for":[41,69],"pharmacovigilance.":[42,89],"Existing":[43],"methods":[44],"rely":[45],"on":[46,141],"patients'":[47],"\"spontaneous\"":[48],"self-reports":[49],"that":[50,161],"attest":[51],"problems.":[52],"The":[53,158],"increasing":[54],"popularity":[55],"social":[57,163],"media":[58],"platforms":[59],"like":[60],"Twitter":[62,82],"presents":[63],"us":[64,86],"a":[65,142],"new":[66],"information":[67],"source":[68],"finding":[70],"potential":[71,102],"events.":[73],"Given":[74],"high":[76],"frequency":[77],"user":[79],"updates,":[80],"mining":[81],"messages":[83,111],"can":[84],"lead":[85],"real-time":[88],"In":[90],"this":[91],"paper,":[92],"we":[93],"describe":[94],"an":[95],"approach":[96],"find":[98],"users":[100],"and":[101,117],"by":[105],"analyzing":[106],"content":[108],"twitter":[110],"utilizing":[112],"Natural":[113],"Language":[114],"Processing":[115],"(NLP)":[116],"build":[119],"Support":[120],"Vector":[121],"Machine":[122],"(SVM)":[123],"classifiers.":[124],"Due":[125],"size":[128],"nature":[129],"dataset":[132],"(i.e.,":[133],"2":[134],"billion":[135],"Tweets),":[136],"experiments":[138],"were":[139],"conducted":[140],"High":[143],"Performance":[144],"Computing":[145],"(HPC)":[146],"platform":[147],"using":[148],"MapReduce,":[149],"which":[150],"exhibits":[151],"trend":[153],"big":[155],"data":[156,165],"analytics.":[157],"results":[159],"suggest":[160],"daily-life":[162],"networking":[164],"could":[166],"help":[167],"early":[168],"important":[171],"patient":[172],"safety":[173],"issues.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":28},{"year":2017,"cited_by_count":36},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":21},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
