{"id":"https://openalex.org/W2744030245","doi":"https://doi.org/10.1145/3097983.3097998","title":"Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data","display_name":"Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data","publication_year":2017,"publication_date":"2017-08-04","ids":{"openalex":"https://openalex.org/W2744030245","doi":"https://doi.org/10.1145/3097983.3097998","mag":"2744030245","pmid":"https://pubmed.ncbi.nlm.nih.gov/29755826"},"language":"en","primary_location":{"id":"doi:10.1145/3097983.3097998","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3097983.3097998","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3097998&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3097998&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039049453","display_name":"Zhaobin Kuang","orcid":"https://orcid.org/0000-0001-9295-4669"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaobin Kuang","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088183118","display_name":"Peggy Peissig","orcid":"https://orcid.org/0000-0003-4156-0189"},"institutions":[{"id":"https://openalex.org/I1315135799","display_name":"Marshfield Clinic","ror":"https://ror.org/025chrz76","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1315135799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peggy Peissig","raw_affiliation_strings":["Marshfield Clinic, Marshfield, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marshfield Clinic, Marshfield, WI, USA","institution_ids":["https://openalex.org/I1315135799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059093687","display_name":"V\u0131\u0301tor Santos Costa","orcid":"https://orcid.org/0000-0002-3344-8237"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Vitor Santos Costa","raw_affiliation_strings":["Universidade do Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade do Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046322087","display_name":"Richard Maclin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115145","display_name":"University of Minnesota, Duluth","ror":"https://ror.org/01hy4qx27","country_code":"US","type":"education","lineage":["https://openalex.org/I4210115145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Maclin","raw_affiliation_strings":["University of Minnesota-Duluth, Duluth, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota-Duluth, Duluth, MN, USA","institution_ids":["https://openalex.org/I4210115145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068251706","display_name":"David Page","orcid":"https://orcid.org/0000-0003-0576-2912"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Page","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2017","issue":null,"first_page":"1537","last_page":"1546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9986000061035156,"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":0.9986000061035156,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T12255","display_name":"Biosimilars and Bioanalytical Methods","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.8047245740890503},{"id":"https://openalex.org/keywords/pharmacovigilance","display_name":"Pharmacovigilance","score":0.6679282188415527},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6488481760025024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4866862893104553},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48047366738319397},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.46509256958961487},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.42203328013420105},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38463786244392395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33318471908569336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2927313446998596},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28833621740341187},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23904788494110107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19676965475082397},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.16017335653305054},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12314000725746155},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11932063102722168},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.11265403032302856},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11041474342346191}],"concepts":[{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.8047245740890503},{"id":"https://openalex.org/C57658597","wikidata":"https://www.wikidata.org/wiki/Q1550789","display_name":"Pharmacovigilance","level":3,"score":0.6679282188415527},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6488481760025024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4866862893104553},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48047366738319397},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46509256958961487},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42203328013420105},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38463786244392395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33318471908569336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2927313446998596},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28833621740341187},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23904788494110107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19676965475082397},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.16017335653305054},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12314000725746155},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11932063102722168},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.11265403032302856},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11041474342346191},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3097983.3097998","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3097983.3097998","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3097998&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmid:29755826","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29755826","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":"KDD : proceedings. International Conference on Knowledge Discovery & Data Mining","raw_type":null},{"id":"pmh:oai:europepmc.org:4862101","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5945223","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"},{"id":"pmh:oai:repositorio.inesctec.pt:123456789/7029","is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/7029","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference object"}],"best_oa_location":{"id":"doi:10.1145/3097983.3097998","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3097983.3097998","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3097998&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1455390755","display_name":null,"funder_award_id":"U54 AI117924","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2044111863","display_name":null,"funder_award_id":"R01 GM097618","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3432590546","display_name":null,"funder_award_id":"2RO1 GM097618","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6435442443","display_name":null,"funder_award_id":"2RO1GM097618","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G7952862298","display_name":null,"funder_award_id":"AI117924","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8198795195","display_name":null,"funder_award_id":"00001","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8580180421","display_name":null,"funder_award_id":"U54 AI117924","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"}],"funders":[{"id":"https://openalex.org/F4320309434","display_name":"University of Wisconsin-Madison","ror":"https://ror.org/01y2jtd41"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2744030245.pdf","grobid_xml":"https://content.openalex.org/works/W2744030245.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W176606861","https://openalex.org/W1126991912","https://openalex.org/W1480392687","https://openalex.org/W1503398984","https://openalex.org/W1540764732","https://openalex.org/W1554437664","https://openalex.org/W1569098853","https://openalex.org/W1894966336","https://openalex.org/W1896212383","https://openalex.org/W1989484996","https://openalex.org/W2000769684","https://openalex.org/W2002456705","https://openalex.org/W2002602253","https://openalex.org/W2025289780","https://openalex.org/W2039299300","https://openalex.org/W2042486053","https://openalex.org/W2050023599","https://openalex.org/W2088562998","https://openalex.org/W2095984592","https://openalex.org/W2097360283","https://openalex.org/W2103672365","https://openalex.org/W2104640308","https://openalex.org/W2107711128","https://openalex.org/W2123089829","https://openalex.org/W2140514146","https://openalex.org/W2144115358","https://openalex.org/W2162894628","https://openalex.org/W2172795346","https://openalex.org/W2322678836","https://openalex.org/W2557283755","https://openalex.org/W2575401932","https://openalex.org/W2883109957","https://openalex.org/W4234295361"],"related_works":["https://openalex.org/W2125179413","https://openalex.org/W2719570687","https://openalex.org/W2894377005","https://openalex.org/W2066240751","https://openalex.org/W3120767282","https://openalex.org/W3128299827","https://openalex.org/W2898439368","https://openalex.org/W2181320814","https://openalex.org/W3105953293","https://openalex.org/W2328148312"],"abstract_inverted_index":{"Several":[0],"prominent":[1],"public":[2],"health":[3,66,105],"incidents":[4],"that":[5,101,133],"occurred":[6],"at":[7,113],"the":[8,30,49,76,84,103,118,126,135,146,153],"beginning":[9],"of":[10,23],"this":[11],"century":[12],"due":[13],"to":[14,34,48,125,144],"adverse":[15,38],"drug":[16],"events":[17,39],"(ADEs)":[18],"have":[19],"raised":[20],"international":[21],"awareness":[22],"governments":[24],"and":[25,32,36,69,140],"industries":[26],"about":[27],"pharmacovigilance":[28],"(PhV),":[29],"science":[31],"activities":[33],"monitor":[35],"prevent":[37],"caused":[40],"by":[41,75],"pharmaceutical":[42],"products":[43],"after":[44],"they":[45],"are":[46],"introduced":[47],"market.":[50],"A":[51],"major":[52],"data":[53],"source":[54],"for":[55,87],"PhV":[56],"is":[57],"large-scale":[58],"longitudinal":[59],"observational":[60],"databases":[61],"(LODs)":[62],"such":[63],"as":[64,121,123],"electronic":[65],"records":[67],"(EHRs)":[68],"medical":[70],"insurance":[71],"claim":[72],"databases.":[73],"Inspired":[74],"Multiple":[77],"Self-Controlled":[78],"Case":[79],"Series":[80],"(MSCCS)":[81],"model,":[82],"arguably":[83],"leading":[85],"method":[86,120],"ADE":[88],"discovery":[89],"from":[90,152],"LODs,":[91],"we":[92],"propose":[93],"baseline":[94],"regularization,":[95],"a":[96],"regularized":[97],"generalized":[98],"linear":[99],"model":[100],"leverages":[102],"diverse":[104],"profiles":[106],"available":[107],"in":[108,148],"LODs":[109],"across":[110],"different":[111,114,138,141],"individuals":[112],"times.":[115],"We":[116],"apply":[117],"proposed":[119],"well":[122],"MSCCS":[124],"Marshfield":[127],"Clinic":[128],"EHR.":[129],"Experimental":[130],"results":[131],"suggest":[132],"incorporating":[134],"heterogeneity":[136],"among":[137],"patients":[139],"times":[142],"help":[143],"improve":[145],"performance":[147],"identifying":[149],"benchmark":[150],"ADEs":[151],"Observational":[154],"Medical":[155],"Outcomes":[156],"Partnership":[157],"ground":[158],"truth":[159]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}