{"id":"https://openalex.org/W1988295611","doi":"https://doi.org/10.1145/2110363.2110386","title":"Automatic creation and refinement of the clusters of pharmacovigilance terms","display_name":"Automatic creation and refinement of the clusters of pharmacovigilance terms","publication_year":2012,"publication_date":"2012-01-28","ids":{"openalex":"https://openalex.org/W1988295611","doi":"https://doi.org/10.1145/2110363.2110386","mag":"1988295611"},"language":"en","primary_location":{"id":"doi:10.1145/2110363.2110386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2110363.2110386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium","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/A5074026685","display_name":"Marie Dupuch","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Marie Dupuch","raw_affiliation_strings":["Universit\u00e9 Pierre et Marie Curie &amp; INSERM, Paris, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie &amp; INSERM, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068103198","display_name":"C\u00e9dric Bousquet","orcid":"https://orcid.org/0000-0001-9775-2476"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210157006","display_name":"Centre Hospitalier Universitaire de Saint-\u00c9tienne","ror":"https://ror.org/04pn6vp43","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210157006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Bousquet","raw_affiliation_strings":["Universit\u00e9 Saint Etienne &amp; INSERM, Saint Etienne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Saint Etienne &amp; INSERM, Saint Etienne, France","institution_ids":["https://openalex.org/I4210157006","https://openalex.org/I154526488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007781745","display_name":"Natalia Grabar","orcid":"https://orcid.org/0000-0002-0237-4554"},"institutions":[{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Natalia Grabar","raw_affiliation_strings":["Universit\u00e9 Lille &amp; CNRS STL UMR8163, Lille, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Lille &amp; CNRS STL UMR8163, Lille, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074026685"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081"],"apc_list":null,"apc_paid":null,"fwci":0.5474,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61806044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9987999796867371,"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":0.9987999796867371,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9176046252250671},{"id":"https://openalex.org/keywords/meddra","display_name":"MedDRA","score":0.8265296220779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731114387512207},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6508687138557434},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5559221506118774},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.48417928814888},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46696239709854126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43977436423301697},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43529027700424194},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4221612215042114},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.25592362880706787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24568206071853638},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17097976803779602},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.12456545233726501}],"concepts":[{"id":"https://openalex.org/C57658597","wikidata":"https://www.wikidata.org/wiki/Q1550789","display_name":"Pharmacovigilance","level":3,"score":0.9176046252250671},{"id":"https://openalex.org/C199475168","wikidata":"https://www.wikidata.org/wiki/Q1539689","display_name":"MedDRA","level":4,"score":0.8265296220779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731114387512207},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6508687138557434},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5559221506118774},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.48417928814888},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46696239709854126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43977436423301697},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43529027700424194},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4221612215042114},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.25592362880706787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24568206071853638},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17097976803779602},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.12456545233726501},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2110363.2110386","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2110363.2110386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.303.5008","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.5008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://natalia.grabar.perso.sfr.fr/publications/dupuch-IHI2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W49950905","https://openalex.org/W110953263","https://openalex.org/W165836432","https://openalex.org/W168854692","https://openalex.org/W266686749","https://openalex.org/W1483357098","https://openalex.org/W1575471463","https://openalex.org/W1647729745","https://openalex.org/W1668989518","https://openalex.org/W1886319227","https://openalex.org/W1922774364","https://openalex.org/W1989929163","https://openalex.org/W1993441963","https://openalex.org/W2011868777","https://openalex.org/W2015487160","https://openalex.org/W2039400965","https://openalex.org/W2045409256","https://openalex.org/W2056105869","https://openalex.org/W2085752173","https://openalex.org/W2087739686","https://openalex.org/W2100935296","https://openalex.org/W2102719726","https://openalex.org/W2127563440","https://openalex.org/W2136368487","https://openalex.org/W2136480620","https://openalex.org/W2152489761","https://openalex.org/W2159666011","https://openalex.org/W2327099931","https://openalex.org/W2534712034","https://openalex.org/W2909505837","https://openalex.org/W2916541702","https://openalex.org/W2953332543","https://openalex.org/W3199790671","https://openalex.org/W6602074864","https://openalex.org/W6636975626"],"related_works":["https://openalex.org/W4283372525","https://openalex.org/W1965446264","https://openalex.org/W2131576700","https://openalex.org/W40475248","https://openalex.org/W2018021083","https://openalex.org/W2333095586","https://openalex.org/W2168061126","https://openalex.org/W4250277692","https://openalex.org/W2521950182","https://openalex.org/W1591489135"],"abstract_inverted_index":{"Pharmacovigilance":[0],"is":[1,27,120],"the":[2,6,44,52,62,84,128,135,142,157,172],"activity":[3],"related":[4],"to":[5,30,34,100,121,141,155],"collection,":[7],"analysis":[8],"and":[9,33,54,97,110,132,160,167],"prevention":[10],"of":[11,23,36,56,86,95,113,117,130,137,144,147,171],"adverse":[12,24],"drug":[13,25],"reactions":[14,26],"(ADRs)":[15],"induced":[16],"by":[17,71],"drugs":[18],"or":[19],"biologics.":[20],"The":[21,115],"detection":[22],"performed":[28],"thanks":[29],"statistical":[31],"algorithms":[32],"groupings":[35,45],"ADR":[37,58,148],"terms.":[38,149],"Standardized":[39],"MedDRA":[40],"Queries":[41],"(SMQs)":[42],"are":[43,78],"which":[46],"become":[47],"a":[48,92],"standard":[49],"for":[50,126,134],"assisting":[51,127],"retrieval":[53],"evaluation":[55],"MedDRA-coded":[57],"reports":[59],"all":[60],"through":[61],"world.":[63],"Currently":[64],"84":[65],"SMQs":[66,90,131],"have":[67],"been":[68],"created":[69],"manually":[70],"experts,":[72],"while":[73],"several":[74,165,169],"important":[75,109],"safety":[76],"topics":[77],"not":[79],"yet":[80],"covered.":[81],"Dependent":[82],"on":[83],"context":[85],"their":[87,138],"application,":[88],"these":[89],"show":[91],"high":[93],"degree":[94],"sensitivity":[96],"often":[98],"appear":[99],"be":[101],"over-inclusive.":[102],"For":[103],"pharmacovigilance":[104],"experts":[105],"it":[106],"represents":[107],"an":[108,123],"tedious":[111],"filtering":[112],"data.":[114],"objective":[116],"this":[118,151],"work":[119,152],"propose":[122,154],"automatic":[124],"method":[125],"creation":[129,143],"also":[133],"refinement":[136],"organization":[139],"further":[140],"smaller":[145],"clusters":[146],"In":[150],"we":[153],"exploit":[156],"semantic":[158],"distance":[159],"clustering":[161],"approaches.":[162],"We":[163],"perform":[164],"experiments":[166],"vary":[168],"parameters":[170],"method.":[173]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
