{"id":"https://openalex.org/W2970375286","doi":null,"title":"Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding.","display_name":"Semantic Similarity of Side Effect and Indication Relations of Drugs Inferred from Neural Embedding.","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970375286","mag":"2970375286"},"language":"en","primary_location":{"id":"mag:2970375286","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-2427/SEPDA_2019_paper_9.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5045470122","display_name":"Keyuan Jiang","orcid":"https://orcid.org/0000-0002-1565-3202","observed_orcids":["https://orcid.org/0000-0002-1565-3202"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keyuan Jiang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1565-3202","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011557194","display_name":"Tingyu Chen","orcid":"https://orcid.org/0000-0001-6339-5503","observed_orcids":["https://orcid.org/0000-0001-6339-5503"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tingyu Chen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6339-5503","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103081353","display_name":"Liyuan Huang","orcid":"https://orcid.org/0000-0003-2431-3418","observed_orcids":["https://orcid.org/0000-0003-2431-3418"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liyuan Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2431-3418","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014083010","display_name":"Gelareh Karbaschi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gelareh Karbaschi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052393113","display_name":"Gordon R. Bernard","orcid":"https://orcid.org/0000-0002-4721-3068","observed_orcids":["https://orcid.org/0000-0002-4721-3068"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gordon R. Bernard","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4721-3068","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1702,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47206497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"68","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.4293999969959259,"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":0.4293999969959259,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.3644999861717224,"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/T10028","display_name":"Topic Modeling","score":0.051500000059604645,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"semantic similarity","score":0.8759999871253967},{"id":"https://openalex.org/keywords/adverse-drug-reactions","display_name":"adverse drug reactions","score":0.9430000185966492},{"id":"https://openalex.org/keywords/drug-indications","display_name":"drug indications","score":0.9950000047683716},{"id":"https://openalex.org/keywords/neural-embeddings","display_name":"neural embeddings","score":0.8650000095367432},{"id":"https://openalex.org/keywords/knowledge-graph-reasoning","display_name":"knowledge graph reasoning","score":0.44200000166893005}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6558725833892822},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5697790384292603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5672903656959534},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5407419800758362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5017180442810059},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4420434534549713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3649004101753235},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2970375286","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-2427/SEPDA_2019_paper_9.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.428600013256073}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W202767273","https://openalex.org/W1614298861","https://openalex.org/W1841433433","https://openalex.org/W2098201295","https://openalex.org/W2098801107","https://openalex.org/W2109429447","https://openalex.org/W2141599568","https://openalex.org/W2145578524","https://openalex.org/W2250189634","https://openalex.org/W2463055271","https://openalex.org/W2906838744","https://openalex.org/W2951193962"],"related_works":["https://openalex.org/W3137071077","https://openalex.org/W6941132405","https://openalex.org/W7099727293","https://openalex.org/W2081329735","https://openalex.org/W4320727081","https://openalex.org/W2956769762","https://openalex.org/W3204168209","https://openalex.org/W2035977761","https://openalex.org/W7099790978","https://openalex.org/W2144267044"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2019-09-05T00:00:00"}