{"id":"https://openalex.org/W2888224214","doi":"https://doi.org/10.1145/3233547.3233568","title":"Identifying Experimental Evidence in Biomedical Abstracts Relevant to Drug-Drug Interactions","display_name":"Identifying Experimental Evidence in Biomedical Abstracts Relevant to Drug-Drug Interactions","publication_year":2018,"publication_date":"2018-08-15","ids":{"openalex":"https://openalex.org/W2888224214","doi":"https://doi.org/10.1145/3233547.3233568","mag":"2888224214"},"language":"en","primary_location":{"id":"doi:10.1145/3233547.3233568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233547.3233568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","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/A5005232556","display_name":"Gongbo Zhang","orcid":"https://orcid.org/0009-0001-0077-3615"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gongbo Zhang","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091187062","display_name":"Debarati Roychowdhury","orcid":"https://orcid.org/0000-0001-8249-1664"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debarati Roychowdhury","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067099783","display_name":"Pengyuan Li","orcid":"https://orcid.org/0000-0002-8205-7611"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyuan Li","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100552223","display_name":"Heng\u2010Yi Wu","orcid":"https://orcid.org/0009-0000-5415-8186"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng-Yi Wu","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040863807","display_name":"Shijun Zhang","orcid":"https://orcid.org/0000-0001-9732-5925"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijun Zhang","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383618","display_name":"Lang Li","orcid":"https://orcid.org/0000-0002-5334-8719"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lang Li","raw_affiliation_strings":["Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043310715","display_name":"Hagit Shatkay","orcid":"https://orcid.org/0000-0001-6953-3970"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hagit Shatkay","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005232556"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07627229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"418"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940000176429749,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9939000010490417,"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":0.7538531422615051},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6262451410293579},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.595715343952179},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5277051329612732},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5229262113571167},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5149615406990051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4964213967323303},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.46561479568481445},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4402843117713928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42612266540527344},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3823058605194092},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1526656448841095},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08209285140037537},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.0746360719203949},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.06924659013748169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538531422615051},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6262451410293579},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.595715343952179},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5277051329612732},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5229262113571167},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5149615406990051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4964213967323303},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.46561479568481445},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4402843117713928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42612266540527344},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3823058605194092},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1526656448841095},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08209285140037537},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0746360719203949},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.06924659013748169},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233547.3233568","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233547.3233568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W168564468","https://openalex.org/W1480287196","https://openalex.org/W1919055890","https://openalex.org/W1969879564","https://openalex.org/W1991833417","https://openalex.org/W2037927825","https://openalex.org/W2101234009","https://openalex.org/W2107141268","https://openalex.org/W2140604557","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2250966211","https://openalex.org/W2255880215","https://openalex.org/W2265846598","https://openalex.org/W2435251607","https://openalex.org/W2479908431","https://openalex.org/W2527896214","https://openalex.org/W2551182653","https://openalex.org/W2551817902","https://openalex.org/W2740721704","https://openalex.org/W2773813496","https://openalex.org/W2950133940","https://openalex.org/W2953384591","https://openalex.org/W2997591727","https://openalex.org/W6612948155","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2118758177","https://openalex.org/W4330338194","https://openalex.org/W2392760275","https://openalex.org/W2153520307","https://openalex.org/W2151459719","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"Drug-drug":[0],"interactions":[1,21],"(DDIs)":[2],"may":[3],"cause":[4],"significant":[5],"adverse":[6],"effects.":[7],"As":[8],"prescribing":[9],"multiple":[10],"drugs":[11,23],"becomes":[12],"increasingly":[13],"common,":[14],"it":[15],"is":[16,43,47],"necessary":[17],"to":[18,63,119,145,191],"verify":[19],"potential":[20],"among":[22],"that":[24,68,76,94,128],"are":[25,150],"used":[26],"at":[27],"the":[28,179],"same":[29],"time.":[30],"Likely":[31],"DDIs":[32,70],"can":[33,59,95,100],"be":[34,101],"identified":[35],"with":[36],"higher":[37],"confidence":[38],"if":[39],"supporting":[40],"experimental":[41,72,87,124],"evidence":[42,79,125],"provided.":[44],"Such":[45],"information":[46,84,108,189],"usually":[48],"published":[49],"in":[50,161],"biomedical":[51,142],"literature.":[52],"While":[53],"current":[54],"retrieval":[55,186],"and":[56,89,106,152,176],"classification":[57],"methods":[58,88],"identify":[60,97],"publications":[61],"related":[62,144],"DDIs,":[64],"not":[65,130],"all":[66],"articles":[67],"discuss":[69],"contain":[71],"evidence.":[73,133],"A":[74,92],"publication":[75],"does":[77],"present":[78,131],"typically":[80],"contains":[81],"sentences":[82,99],"conveying":[83],"about":[85],"specific":[86],"their":[90],"results.":[91],"classifier":[93],"readily":[96],"such":[98,132],"useful":[102],"for":[103],"obtaining":[104],"explicit":[105],"reliable":[107,188],"concerning":[109],"DDIs.":[110],"In":[111],"this":[112],"work,":[113],"we":[114],"develop":[115],"two":[116],"text":[117,140],"classifiers":[118,149,183],"distinguish":[120],"scientific":[121],"sentence-fragments":[122,160],"bearing":[123],"from":[126],"fragments":[127],"do":[129],"We":[134],"focus":[135],"on":[136,154],"a":[137,155,167],"corpus":[138],"of":[139,159,170,181,187],"containing":[141],"abstracts":[143],"drug":[146,192],"interactions.":[147,193],"The":[148],"trained":[151],"tested":[153],"manually":[156],"curated":[157],"set":[158],"these":[162,182],"abstracts.":[163],"Our":[164],"experiments":[165],"demonstrate":[166],"high":[168],"level":[169],"performance":[171],"(at":[172],"least":[173],"89%":[174],"precision":[175],"recall)":[177],"suggesting":[178],"applicability":[180],"toward":[184],"improving":[185],"pertaining":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}