{"id":"https://openalex.org/W2746873727","doi":"https://doi.org/10.1093/bib/bbx099","title":"Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models","display_name":"Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models","publication_year":2017,"publication_date":"2017-07-19","ids":{"openalex":"https://openalex.org/W2746873727","doi":"https://doi.org/10.1093/bib/bbx099","mag":"2746873727","pmid":"https://pubmed.ncbi.nlm.nih.gov/28968655"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbx099","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbx099","pdf_url":"https://academic.oup.com/bib/article-pdf/20/1/190/27689668/bbx099.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/20/1/190/27689668/bbx099.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073333928","display_name":"Emir Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-0089-8135"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Emir Mu\u00f1oz","raw_affiliation_strings":["Fujitsu Ireland Ltd., Co. Dublin, Ireland","Insight Centre for Data Analytics, NUI Galway, Co. Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Fujitsu Ireland Ltd., Co. Dublin, Ireland","institution_ids":[]},{"raw_affiliation_string":"Insight Centre for Data Analytics, NUI Galway, Co. Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905135","display_name":"V\u00edt Nov\u00e1\u010dek","orcid":"https://orcid.org/0000-0003-4687-6043"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"V\u00edt Nov\u00e1\u010dek","raw_affiliation_strings":["Insight Centre for Data Analytics, NUI Galway, Co. Galway, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, NUI Galway, Co. Galway, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024897727","display_name":"Pierre-Yves Vandenbussche","orcid":"https://orcid.org/0000-0003-0591-6109"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierre-Yves Vandenbussche","raw_affiliation_strings":["Fujitsu Ireland Ltd., Co. Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Fujitsu Ireland Ltd., Co. Dublin, Ireland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073333928"],"corresponding_institution_ids":["https://openalex.org/I188760350"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":4.7404,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95715791,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"190","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9922000169754028,"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":0.9843999743461609,"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/computer-science","display_name":"Computer science","score":0.6474558711051941},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5540373921394348},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.45873868465423584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4351723790168762},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4337511956691742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4276093542575836},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1754280924797058},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14262399077415466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474558711051941},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5540373921394348},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.45873868465423584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4351723790168762},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4337511956691742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4276093542575836},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1754280924797058},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14262399077415466}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"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":"D016907","descriptor_name":"Adverse Drug Reaction Reporting Systems","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051188","descriptor_name":"Knowledge Bases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062313","descriptor_name":"Databases, Pharmaceutical","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D062313","descriptor_name":"Databases, Pharmaceutical","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D062313","descriptor_name":"Databases, Pharmaceutical","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":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbx099","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbx099","pdf_url":"https://academic.oup.com/bib/article-pdf/20/1/190/27689668/bbx099.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:28968655","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28968655","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:http://www.rian.ie/147587/","is_oa":false,"landing_page_url":"http://hdl.handle.net/10379/6749","pdf_url":null,"source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1093/bib/bbx099","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbx099","pdf_url":"https://academic.oup.com/bib/article-pdf/20/1/190/27689668/bbx099.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2881606312","display_name":null,"funder_award_id":"SFI/12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G3989894238","display_name":null,"funder_award_id":"12/RC/2289","funder_id":"https://openalex.org/F4320331354","funder_display_name":"Insight SFI Research Centre for Data Analytics"},{"id":"https://openalex.org/G5098725405","display_name":null,"funder_award_id":"12/RC/","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G6712843611","display_name":null,"funder_award_id":"12/RC/228","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G7362007176","display_name":null,"funder_award_id":"12/RC/2289","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320311521","display_name":"National University of Ireland","ror":"https://ror.org/00shsf120"},{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320320861","display_name":"University of Galway","ror":"https://ror.org/03bea9k73"},{"id":"https://openalex.org/F4320331354","display_name":"Insight SFI Research Centre for Data Analytics","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2746873727.pdf","grobid_xml":"https://content.openalex.org/works/W2746873727.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W141818611","https://openalex.org/W1161601223","https://openalex.org/W1532325895","https://openalex.org/W1895993106","https://openalex.org/W1973435495","https://openalex.org/W1977310857","https://openalex.org/W1979845492","https://openalex.org/W1981809734","https://openalex.org/W1999038366","https://openalex.org/W2001417231","https://openalex.org/W2002830978","https://openalex.org/W2018453465","https://openalex.org/W2018518196","https://openalex.org/W2035055162","https://openalex.org/W2038967169","https://openalex.org/W2047708582","https://openalex.org/W2048435239","https://openalex.org/W2049946556","https://openalex.org/W2051730284","https://openalex.org/W2057563377","https://openalex.org/W2073386434","https://openalex.org/W2101234009","https://openalex.org/W2109268594","https://openalex.org/W2114315281","https://openalex.org/W2117239687","https://openalex.org/W2119466907","https://openalex.org/W2120831232","https://openalex.org/W2136127280","https://openalex.org/W2145578524","https://openalex.org/W2146241755","https://openalex.org/W2151070626","https://openalex.org/W2152454589","https://openalex.org/W2153972688","https://openalex.org/W2154896031","https://openalex.org/W2164105883","https://openalex.org/W2165428180","https://openalex.org/W2167917621","https://openalex.org/W2173079655","https://openalex.org/W2177317049","https://openalex.org/W2187793890","https://openalex.org/W2234451305","https://openalex.org/W2308071406","https://openalex.org/W2339812389","https://openalex.org/W2408641126","https://openalex.org/W2413583538","https://openalex.org/W2481699501","https://openalex.org/W2559588208","https://openalex.org/W2767544505","https://openalex.org/W2898397916","https://openalex.org/W3022502706","https://openalex.org/W4213009331","https://openalex.org/W4241336979","https://openalex.org/W4245562979","https://openalex.org/W4302313152","https://openalex.org/W6675354045","https://openalex.org/W6698240980","https://openalex.org/W6715837248"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Timely":[0],"identification":[1],"of":[2,13,20,44,119,127,141,148,166,179,195,230],"adverse":[3],"drug":[4,33,77],"reactions":[5],"(ADRs)":[6],"is":[7,204],"highly":[8],"important":[9],"in":[10,41,49,102,185],"the":[11,120,125,128],"domains":[12],"public":[14],"health":[15],"and":[16,30,38,52,82,151,175,240],"pharmacology.":[17],"Early":[18],"discovery":[19],"potential":[21],"ADRs":[22,45],"can":[23,46,209],"limit":[24],"their":[25],"effect":[26],"on":[27,71],"patient":[28],"lives":[29],"also":[31,235],"make":[32],"development":[34],"pipelines":[35],"more":[36],"robust":[37],"efficient.":[39],"Reliable":[40],"silico":[42],"prediction":[43,155],"be":[47,210],"helpful":[48],"this":[50],"context,":[51],"thus,":[53],"it":[54,222],"has":[55],"been":[56],"intensely":[57],"studied.":[58],"Recent":[59],"works":[60,96],"achieved":[61],"promising":[62,93],"results":[63],"using":[64,136,167],"machine":[65,72,218],"learning.":[66],"The":[67,206],"presented":[68,207],"work":[69,234],"focuses":[70],"learning":[73,183,198,219],"methods":[74,199],"that":[75,91],"use":[76,83],"profiles":[78],"for":[79,200,224,243],"making":[80,221],"predictions":[81],"features":[84],"from":[85],"multiple":[86],"data":[87,106],"sources.":[88],"We":[89,111,161],"argue":[90],"despite":[92],"results,":[94],"existing":[95,188],"have":[97],"limitations,":[98],"especially":[99],"regarding":[100],"flexibility":[101],"experimenting":[103],"with":[104,187],"different":[105,172],"sets":[107,174],"and/or":[108],"predictive":[109],"models.":[110],"suggest":[112,192],"to":[113,170,213],"address":[114],"these":[115],"limitations":[116],"by":[117,124],"generalization":[118],"key":[121],"principles":[122],"used":[123],"state":[126],"art.":[129],"Namely,":[130],"we":[131],"explore":[132],"effects":[133],"of:":[134],"(1)":[135],"knowledge":[137,168],"graphs-machine-readable":[138],"interlinked":[139],"representations":[140],"biomedical":[142],"knowledge-as":[143],"a":[144,157,163,237],"convenient":[145],"uniform":[146],"representation":[147],"heterogeneous":[149],"data;":[150],"(2)":[152],"casting":[153],"ADR":[154],"as":[156],"multi-label":[158,182,197],"ranking":[159,203],"problem.":[160],"present":[162],"specific":[164,228],"way":[165],"graphs":[169],"generate":[171],"feature":[173,215],"demonstrate":[176],"favourable":[177],"performance":[178],"selected":[180],"off-the-shelf":[181],"models":[184],"comparison":[186],"works.":[189],"Our":[190,233],"experiments":[191,225],"better":[193],"suitability":[194],"certain":[196],"applications":[201],"where":[202],"preferred.":[205],"approach":[208],"easily":[211],"extended":[212],"other":[214],"sources":[216],"or":[217],"methods,":[220],"flexible":[223],"tuned":[226],"toward":[227],"requirements":[229],"end":[231],"users.":[232],"provides":[236],"clearly":[238],"defined":[239],"reproducible":[241],"baseline":[242],"any":[244],"future":[245],"related":[246],"experiments.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
