{"id":"https://openalex.org/W2101013878","doi":"https://doi.org/10.3233/978-1-60750-588-4-739","title":"Extraction of Adverse Drug Effects from Clinical Records","display_name":"Extraction of Adverse Drug Effects from Clinical Records","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2101013878","doi":"https://doi.org/10.3233/978-1-60750-588-4-739","mag":"2101013878","pmid":"https://pubmed.ncbi.nlm.nih.gov/20841784"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-588-4-739","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-588-4-739","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"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/A5041089475","display_name":"Eiji Aramaki","orcid":"https://orcid.org/0000-0003-0201-3609"},"institutions":[{"id":"https://openalex.org/I4210109338","display_name":"University of Tokyo Hospital","ror":"https://ror.org/022cvpj02","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210109338"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Aramaki Eiji","raw_affiliation_strings":["Center for Knowledge Structuring, University of Tokyo, University of Tokyo Hospital, Tokyo, Japan. eiji.aramaki@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Knowledge Structuring, University of Tokyo, University of Tokyo Hospital, Tokyo, Japan. eiji.aramaki@gmail.com","institution_ids":["https://openalex.org/I4210109338"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084720611","display_name":"Yasuhide Miura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miura Yasuhide","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103642778","display_name":"Masatsugu Tonoike","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tonoike Masatsugu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037841139","display_name":"Tomoko Ohkuma","orcid":"https://orcid.org/0000-0002-5078-4814"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ohkuma Tomoko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013091873","display_name":"Hiroshi Masuichi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masuichi Hiroshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078504986","display_name":"Kayo Waki","orcid":"https://orcid.org/0000-0003-0046-2523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Waki Kayo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052636056","display_name":"Kazuhiko Ohe","orcid":"https://orcid.org/0000-0002-4296-9536"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ohe Kazuhiko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5041089475"],"corresponding_institution_ids":["https://openalex.org/I4210109338"],"apc_list":null,"apc_paid":null,"fwci":5.1058,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.96606162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"160","issue":"Pt 1","first_page":"739","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9930999875068665,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.7601088285446167},{"id":"https://openalex.org/keywords/adverse-effect","display_name":"Adverse effect","score":0.6785684823989868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5422639846801758},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5307445526123047},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4978640079498291},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.44275766611099243},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42436400055885315},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.41902631521224976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36299455165863037},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3604239821434021},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3211626410484314},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3207496404647827},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.2587960362434387},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13072603940963745},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10406392812728882},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.10391241312026978},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1014769971370697},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0983949601650238}],"concepts":[{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.7601088285446167},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.6785684823989868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5422639846801758},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5307445526123047},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4978640079498291},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.44275766611099243},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42436400055885315},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.41902631521224976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36299455165863037},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3604239821434021},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3211626410484314},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3207496404647827},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2587960362434387},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13072603940963745},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10406392812728882},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.10391241312026978},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1014769971370697},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0983949601650238},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003628","descriptor_name":"Database Management Systems","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007564","descriptor_name":"Japan","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":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016907","descriptor_name":"Adverse Drug Reaction Reporting Systems","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016907","descriptor_name":"Adverse Drug Reaction Reporting Systems","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016907","descriptor_name":"Adverse Drug Reaction Reporting Systems","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-60750-588-4-739","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-588-4-739","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:20841784","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20841784","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2007894602","https://openalex.org/W2011941828","https://openalex.org/W2034797903","https://openalex.org/W2043860843","https://openalex.org/W2068882115","https://openalex.org/W2141099517","https://openalex.org/W2147880316","https://openalex.org/W2152358231","https://openalex.org/W2156515921","https://openalex.org/W2156909104","https://openalex.org/W2184931081"],"related_works":["https://openalex.org/W4220709714","https://openalex.org/W2922115310","https://openalex.org/W4361215268","https://openalex.org/W2330883931","https://openalex.org/W2554558516","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688","https://openalex.org/W2413325029","https://openalex.org/W2739554337"],"abstract_inverted_index":{"With":[0],"the":[1,9,32,56,92],"rapidly":[2],"growing":[3],"use":[4],"of":[5,11,35,55,68,77,95],"electronic":[6],"health":[7],"records,":[8,49,96],"possibility":[10],"large-scale":[12],"clinical":[13],"information":[14,45],"extraction":[15],"has":[16],"drawn":[17],"much":[18,43],"attention.":[19],"We":[20],"aim":[21],"to":[22],"extract":[23],"adverse":[24,71],"drug":[25],"events":[26],"and":[27,50,74],"effects":[28],"from":[29],"records.":[30],"As":[31],"first":[33],"step":[34],"this":[36,38],"challenge,":[37],"study":[39],"assessed":[40],"(1)":[41],"how":[42],"adverse-effect":[44],"is":[46,88],"contained":[47],"in":[48,80],"(2)":[51],"automatic":[52],"extracting":[53],"accuracy":[54],"current":[57],"standard":[58],"Natural":[59],"Language":[60],"Processing":[61],"(NLP)":[62],"system.":[63],"Results":[64],"revealed":[65],"that":[66,75],"7.7%":[67],"records":[69],"include":[70],"event":[72],"information,":[73],"59%":[76],"them":[78],"(4.5%":[79],"total)":[81],"can":[82],"be":[83],"extracted":[84],"automatically.":[85],"This":[86],"result":[87],"particularly":[89],"encouraging,":[90],"considering":[91],"massive":[93],"amounts":[94],"which":[97],"are":[98],"increasing":[99],"daily.":[100]},"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":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":6}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}