{"id":"https://openalex.org/W2899363806","doi":"https://doi.org/10.1142/s0219720018400279","title":"Extraction of drug\u2013drug interaction using neural embedding","display_name":"Extraction of drug\u2013drug interaction using neural embedding","publication_year":2018,"publication_date":"2018-10-31","ids":{"openalex":"https://openalex.org/W2899363806","doi":"https://doi.org/10.1142/s0219720018400279","mag":"2899363806","pmid":"https://pubmed.ncbi.nlm.nih.gov/30567477"},"language":"en","primary_location":{"id":"doi:10.1142/s0219720018400279","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0219720018400279","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1142/s0219720018400279","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110620967","display_name":"Wen Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen Juan Hou","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, No 88, Tingzhou Road, Sec. 4, Taipei 116, Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, No 88, Tingzhou Road, Sec. 4, Taipei 116, Taiwan R.O.C","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017576929","display_name":"Bamfa Ceesay","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bamfa Ceesay","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, No 88, Tingzhou Road, Sec. 4, Taipei 116, Taiwan R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, No 88, Tingzhou Road, Sec. 4, Taipei 116, Taiwan R.O.C","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110620967"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":null,"apc_paid":null,"fwci":0.7354,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.70611219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"06","first_page":"1840027","last_page":"1840027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"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":0.9882000088691711,"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/computer-science","display_name":"Computer science","score":0.7266942858695984},{"id":"https://openalex.org/keywords/drug-drug-interaction","display_name":"Drug-drug interaction","score":0.658797025680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565887928009033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6405477523803711},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6281630992889404},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5840953588485718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.547245979309082},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5272266864776611},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5130363702774048},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4912645220756531},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4735221862792969},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4729090631008148},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4325829744338989},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4105958640575409},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1751217544078827},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1466054916381836},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10117831826210022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08804899454116821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266942858695984},{"id":"https://openalex.org/C2910466267","wikidata":"https://www.wikidata.org/wiki/Q718753","display_name":"Drug-drug interaction","level":3,"score":0.658797025680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565887928009033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6405477523803711},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6281630992889404},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5840953588485718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.547245979309082},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5272266864776611},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5130363702774048},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4912645220756531},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4735221862792969},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4729090631008148},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4325829744338989},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4105958640575409},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1751217544078827},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1466054916381836},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10117831826210022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08804899454116821},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"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":"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":"D062313","descriptor_name":"Databases, Pharmaceutical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062313","descriptor_name":"Databases, Pharmaceutical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062313","descriptor_name":"Databases, Pharmaceutical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219720018400279","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0219720018400279","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},{"id":"pmid:30567477","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30567477","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":"Journal of bioinformatics and computational biology","raw_type":null}],"best_oa_location":{"id":"doi:10.1142/s0219720018400279","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s0219720018400279","pdf_url":null,"source":{"id":"https://openalex.org/S155349577","display_name":"Journal of Bioinformatics and Computational Biology","issn_l":"0219-7200","issn":["0219-7200","1757-6334"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Bioinformatics and Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W36903255","https://openalex.org/W141694252","https://openalex.org/W191471806","https://openalex.org/W1914850283","https://openalex.org/W1924141195","https://openalex.org/W1955951250","https://openalex.org/W2001082095","https://openalex.org/W2070787551","https://openalex.org/W2091439417","https://openalex.org/W2113097878","https://openalex.org/W2114127539","https://openalex.org/W2119541508","https://openalex.org/W2121802207","https://openalex.org/W2123036291","https://openalex.org/W2135186741","https://openalex.org/W2153972688","https://openalex.org/W2156930958","https://openalex.org/W2168400705","https://openalex.org/W2170146596","https://openalex.org/W2307935645","https://openalex.org/W2469049024","https://openalex.org/W2625343706","https://openalex.org/W2768793959","https://openalex.org/W2794139534","https://openalex.org/W2794304292","https://openalex.org/W2950075229","https://openalex.org/W2950133940","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W4236762297","https://openalex.org/W3138801416","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W2369351710","https://openalex.org/W2594363579"],"abstract_inverted_index":{"Information":[0,47],"on":[1,63],"changes":[2],"in":[3,9,22,55,138,153],"a":[4,12,83,117,150],"drug's":[5],"effect":[6],"when":[7],"taken":[8],"combination":[10],"with":[11],"second":[13],"drug,":[14],"known":[15],"as":[16,128],"drug-drug":[17],"interaction":[18],"(DDI),":[19],"is":[20,92,145],"relevant":[21,61],"the":[23,71,98],"pharmaceutical":[24],"industry.":[25],"DDIs":[26],"can":[27,50,107,135],"delay,":[28],"decrease,":[29],"or":[30,39,43],"enhance":[31],"absorption":[32],"of":[33,52,60,73,100],"either":[34],"drug":[35],"and":[36,58,103,115,131],"thus":[37],"decrease":[38],"increase":[40],"their":[41],"action":[42],"cause":[44],"adverse":[45],"effects.":[46],"Extraction":[48],"(IE)":[49],"be":[51,108],"great":[53],"benefit":[54],"allowing":[56],"identification":[57],"extraction":[59,72],"information":[62],"DDIs.":[64],"We":[65],"here":[66],"propose":[67],"an":[68],"approach":[69,144],"for":[70,97],"DDI":[74],"from":[75,112,140],"text":[76],"using":[77,116],"neural":[78,129],"word":[79,113],"embedding":[80],"to":[81,148],"train":[82],"machine":[84,124],"learning":[85,111,125,133],"system.":[86],"Results":[87],"show":[88],"that":[89,104,123],"our":[90],"system":[91],"competitive":[93],"against":[94],"other":[95],"systems":[96],"task":[99],"extracting":[101],"DDIs,":[102],"significant":[105,151],"improvements":[106],"achieved":[109],"by":[110],"features":[114],"deep-learning":[118],"approach.":[119],"Our":[120,142],"study":[121],"demonstrates":[122],"techniques":[126],"such":[127],"networks":[130],"deep":[132],"methods":[134],"efficiently":[136],"aid":[137],"IE":[139],"text.":[141],"proposed":[143],"well":[146],"suited":[147],"play":[149],"role":[152],"future":[154],"research.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
