{"id":"https://openalex.org/W3217256102","doi":"https://doi.org/10.1007/978-3-031-16500-9_4","title":"Selection of\u00a0Pseudo-Annotated Data for\u00a0Adverse Drug Reaction Classification Across Drug Groups","display_name":"Selection of\u00a0Pseudo-Annotated Data for\u00a0Adverse Drug Reaction Classification Across Drug Groups","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3217256102","doi":"https://doi.org/10.1007/978-3-031-16500-9_4","mag":"3217256102"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-16500-9_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16500-9_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.12477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019116960","display_name":"Ilseyar Alimova","orcid":"https://orcid.org/0000-0003-4528-6631"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilseyar Alimova","raw_affiliation_strings":["Kazan (Volga Region) Federal University, Kazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kazan (Volga Region) Federal University, Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012311258","display_name":"Elena Tutubalina","orcid":"https://orcid.org/0000-0001-7936-0284"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]},{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Elena Tutubalina","raw_affiliation_strings":["HSE University, Moscow, Russia","Kazan (Volga Region) Federal University, Kazan, Russia","Kazan Federal University, Kazan, Russia","Sber AI, Kazan, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]},{"raw_affiliation_string":"Kazan (Volga Region) Federal University, Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]},{"raw_affiliation_string":"Kazan Federal University, Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]},{"raw_affiliation_string":"Sber AI, Kazan, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01549701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9980000257492065,"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":0.9980000257492065,"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/T10028","display_name":"Topic Modeling","score":0.9890000224113464,"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":0.9810000061988831,"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/bottleneck","display_name":"Bottleneck","score":0.7325695753097534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948468685150146},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.5704432725906372},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5655314326286316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.542240560054779},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5121009349822998},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5086005926132202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5070574283599854},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4765627682209015},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4523320496082306},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.449273943901062},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.415654718875885},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4120751619338989},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17781755328178406},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.11222982406616211}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7325695753097534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948468685150146},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.5704432725906372},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5655314326286316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.542240560054779},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5121009349822998},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5086005926132202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5070574283599854},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4765627682209015},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4523320496082306},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.449273943901062},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.415654718875885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4120751619338989},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17781755328178406},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.11222982406616211},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-16500-9_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16500-9_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2111.12477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.12477","pdf_url":"https://arxiv.org/pdf/2111.12477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.12477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.12477","pdf_url":"https://arxiv.org/pdf/2111.12477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2131546905","https://openalex.org/W2604444602","https://openalex.org/W2614787793","https://openalex.org/W2767716955","https://openalex.org/W2779179495","https://openalex.org/W2907279416","https://openalex.org/W2911489562","https://openalex.org/W2921465693","https://openalex.org/W2963025814","https://openalex.org/W2963341956","https://openalex.org/W2964164368","https://openalex.org/W2964269444","https://openalex.org/W3000123976","https://openalex.org/W3005237274","https://openalex.org/W3020629618","https://openalex.org/W3118356387","https://openalex.org/W3170070107","https://openalex.org/W3172540971"],"related_works":["https://openalex.org/W2161052216","https://openalex.org/W4317548404","https://openalex.org/W3022007134","https://openalex.org/W2949671220","https://openalex.org/W2130553454","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W2786391746","https://openalex.org/W2914559142","https://openalex.org/W2033364610"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}