{"id":"https://openalex.org/W1991567209","doi":"https://doi.org/10.1145/1882992.1883008","title":"Mining electronic health records for adverse drug effects using regression based methods","display_name":"Mining electronic health records for adverse drug effects using regression based methods","publication_year":2010,"publication_date":"2010-11-11","ids":{"openalex":"https://openalex.org/W1991567209","doi":"https://doi.org/10.1145/1882992.1883008","mag":"1991567209"},"language":"en","primary_location":{"id":"doi:10.1145/1882992.1883008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1883008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM 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/A5043102729","display_name":"Rave Harpaz","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rave Harpaz","raw_affiliation_strings":["Columbia University , New York, USA","Columbia University, New York., USA"],"affiliations":[{"raw_affiliation_string":"Columbia University , New York, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York., USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069129828","display_name":"Krystl Haerian","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krystl Haerian","raw_affiliation_strings":["Columbia University, New York, USA","Columbia University, New York., USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York., USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046498120","display_name":"Herbert Chase","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Herbert S. Chase","raw_affiliation_strings":["Columbia University, New York, USA","Columbia University, New York., USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York., USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109277899","display_name":"Carol Friedman","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carol Friedman","raw_affiliation_strings":["Columbia University, New York, USA","Columbia University, New York., USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York., USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043102729"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.8078,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.82693119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9901000261306763,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pharmacovigilance","display_name":"Pharmacovigilance","score":0.7196823358535767},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.6655689477920532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5757424831390381},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5591635704040527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48399806022644043},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4743446409702301},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.4599775969982147},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.4260275065898895},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4240374267101288},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.39380842447280884},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24368107318878174},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.2402934432029724}],"concepts":[{"id":"https://openalex.org/C57658597","wikidata":"https://www.wikidata.org/wiki/Q1550789","display_name":"Pharmacovigilance","level":3,"score":0.7196823358535767},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.6655689477920532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5757424831390381},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5591635704040527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48399806022644043},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4743446409702301},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.4599775969982147},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.4260275065898895},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4240374267101288},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.39380842447280884},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24368107318878174},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.2402934432029724},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1882992.1883008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1882992.1883008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Health Informatics Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3"}],"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":31,"referenced_works":["https://openalex.org/W1526164314","https://openalex.org/W1569856620","https://openalex.org/W1871067837","https://openalex.org/W1972891674","https://openalex.org/W1973948212","https://openalex.org/W1988100739","https://openalex.org/W2014725748","https://openalex.org/W2015487160","https://openalex.org/W2018528388","https://openalex.org/W2033791981","https://openalex.org/W2039594635","https://openalex.org/W2047028564","https://openalex.org/W2068460589","https://openalex.org/W2074289946","https://openalex.org/W2099188065","https://openalex.org/W2112382973","https://openalex.org/W2124549482","https://openalex.org/W2135046866","https://openalex.org/W2140742150","https://openalex.org/W2147598330","https://openalex.org/W2148997061","https://openalex.org/W2160194473","https://openalex.org/W2164826904","https://openalex.org/W2166183437","https://openalex.org/W2557893407","https://openalex.org/W4229779919","https://openalex.org/W4244978678","https://openalex.org/W4250849973","https://openalex.org/W4293236771","https://openalex.org/W4299689471","https://openalex.org/W4378951071"],"related_works":["https://openalex.org/W2018021083","https://openalex.org/W2333095586","https://openalex.org/W2168061126","https://openalex.org/W4250277692","https://openalex.org/W2521950182","https://openalex.org/W1591489135","https://openalex.org/W13687373","https://openalex.org/W2065768077","https://openalex.org/W2026160434","https://openalex.org/W2947465309"],"abstract_inverted_index":{"The":[0,95,167],"identification":[1,69],"of":[2,46,70,97,107,122,130,137,146],"post-marketed":[3],"adverse":[4],"drug":[5],"events":[6],"(ADEs)":[7],"is":[8,100,115,134],"paramount":[9],"to":[10,37,58,101,155],"health":[11,25],"care.":[12],"Spontaneous":[13],"reporting":[14,55],"systems":[15],"(SRS)":[16],"are":[17,165,170],"currently":[18],"the":[19,47,54,82,86,105,128,144],"mainstay":[20],"in":[21,124,153],"pharmacovigilance.":[22],"Recently,":[23],"electronic":[24],"records":[26],"(EHRs)":[27],"have":[28],"emerged":[29],"as":[30,39,180,182],"a":[31,42,108,135],"promising":[32],"and":[33,49,75,103,149,158],"effective":[34],"complementary":[35],"resource":[36],"SRS,":[38],"they":[40],"contain":[41],"more":[43],"complete":[44],"record":[45],"patient,":[48],"do":[50],"not":[51],"suffer":[52],"from":[53],"biases":[56],"inherent":[57],"SRS.":[59],"However,":[60],"mining":[61,121],"EHRs":[62],"for":[63,88,93,117],"potential":[64,160],"ADEs,":[65],"which":[66,114,169],"typically":[67],"involves":[68],"statistical":[71,89],"associations":[72],"between":[73],"drugs":[74],"medical":[76],"conditions,":[77],"introduced":[78],"several":[79],"other":[80],"challenges,":[81],"main":[83],"one":[84],"being":[85],"necessity":[87],"techniques":[90],"that":[91,141],"account":[92],"confounding.":[94],"objective":[96],"this":[98,133],"paper":[99],"present":[102],"demonstrate":[104,177],"feasibility":[106],"method":[109],"based":[110,151],"on":[111],"regression":[112,150],"techniques,":[113],"designed":[116],"automated":[118],"large":[119],"scale":[120],"ADEs":[123],"EHR":[125,147],"narratives.":[126],"To":[127],"best":[129],"our":[131],"knowledge":[132],"first":[136],"its":[138],"kind":[139],"approach":[140],"combines":[142],"both":[143],"use":[145],"data,":[148],"methods":[152],"order":[154],"address":[156],"confounding":[157],"identify":[159],"ADEs.":[161],"Two":[162],"separate":[163],"experiments":[164],"conducted.":[166],"results,":[168],"validated":[171],"by":[172],"clinical":[173],"subject":[174],"matter":[175],"experts,":[176],"great":[178],"promise,":[179],"well":[181],"highlight":[183],"additional":[184],"challenges.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}