{"id":"https://openalex.org/W4286357892","doi":"https://doi.org/10.1109/tem.2022.3187989","title":"Research on Potential Adverse Drug Reaction Forecasting Based on SAO Semantic Structure","display_name":"Research on Potential Adverse Drug Reaction Forecasting Based on SAO Semantic Structure","publication_year":2022,"publication_date":"2022-07-19","ids":{"openalex":"https://openalex.org/W4286357892","doi":"https://doi.org/10.1109/tem.2022.3187989"},"language":"en","primary_location":{"id":"doi:10.1109/tem.2022.3187989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2022.3187989","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-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/A5044798557","display_name":"Jiayun Wang","orcid":"https://orcid.org/0000-0001-7430-4208"},"institutions":[{"id":"https://openalex.org/I898250095","display_name":"Industrial and Commercial Bank of China","ror":"https://ror.org/02zcab046","country_code":"CN","type":"other","lineage":["https://openalex.org/I898250095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayun Wang","raw_affiliation_strings":["Business Research and Development Center, Industrial and Commercial Bank of China, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7430-4208","affiliations":[{"raw_affiliation_string":"Business Research and Development Center, Industrial and Commercial Bank of China, Beijing, China","institution_ids":["https://openalex.org/I898250095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035530096","display_name":"Xuefeng Wang","orcid":"https://orcid.org/0000-0002-4857-6944"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Wang","raw_affiliation_strings":["School of Management and Economics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4857-6944","affiliations":[{"raw_affiliation_string":"School of Management and Economics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009924594","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1410-0494"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["China-Japan Friendship Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1410-0494","affiliations":[{"raw_affiliation_string":"China-Japan Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7184,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72744999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"71","issue":null,"first_page":"2535","last_page":"2548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9117000102996826,"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/drug-reaction","display_name":"Drug reaction","score":0.6295337677001953},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6262978315353394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979236364364624},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.5386447906494141},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.491960734128952},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4803241789340973},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4631352722644806},{"id":"https://openalex.org/keywords/drug-development","display_name":"Drug development","score":0.4118845462799072},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3979530334472656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3465290069580078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33119624853134155},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3123124837875366},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.2562272548675537}],"concepts":[{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.6295337677001953},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6262978315353394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979236364364624},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5386447906494141},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.491960734128952},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4803241789340973},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4631352722644806},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.4118845462799072},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3979530334472656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3465290069580078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33119624853134155},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3123124837875366},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.2562272548675537},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tem.2022.3187989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tem.2022.3187989","pdf_url":null,"source":{"id":"https://openalex.org/S154533451","display_name":"IEEE Transactions on Engineering Management","issn_l":"0018-9391","issn":["0018-9391","1558-0040"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Engineering Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W141818611","https://openalex.org/W286875401","https://openalex.org/W1020404485","https://openalex.org/W1893639437","https://openalex.org/W1971040550","https://openalex.org/W1977649864","https://openalex.org/W1979845492","https://openalex.org/W1982438076","https://openalex.org/W1989631426","https://openalex.org/W1991681722","https://openalex.org/W2007444087","https://openalex.org/W2057692938","https://openalex.org/W2070789802","https://openalex.org/W2103427999","https://openalex.org/W2107464496","https://openalex.org/W2120009105","https://openalex.org/W2131681506","https://openalex.org/W2154335454","https://openalex.org/W2157825442","https://openalex.org/W2406158805","https://openalex.org/W2570516417","https://openalex.org/W2751405380","https://openalex.org/W2762742184","https://openalex.org/W2890681735","https://openalex.org/W2962992342","https://openalex.org/W2977883158","https://openalex.org/W2990336673","https://openalex.org/W3000455409","https://openalex.org/W3019535438","https://openalex.org/W3203683156","https://openalex.org/W4254886555","https://openalex.org/W6600725203","https://openalex.org/W6601241269","https://openalex.org/W6711204369","https://openalex.org/W6714881261"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W111277538","https://openalex.org/W2544208578","https://openalex.org/W2470067656","https://openalex.org/W2044946730","https://openalex.org/W2377651601","https://openalex.org/W2378947884","https://openalex.org/W2188607138","https://openalex.org/W1585256759"],"abstract_inverted_index":{"With":[0],"advances":[1],"in":[2],"medicine":[3],"and":[4,14,60,92,141],"biotechnology,":[5],"the":[6,36,41,48,115,118,123,146,163],"variety":[7],"of":[8,35,43,50,114,165],"available":[9],"drugs":[10],"has":[11],"become":[12],"more":[13,15],"abundant.":[16],"However,":[17],"along":[18],"with":[19,88],"these":[20],"innovations":[21],"come":[22],"complex":[23,89],"adverse":[24,99],"drug":[25,44,52,158],"reactions":[26],"(ADRs)":[27],"as":[28,47,129],"well.":[29],"Extensive":[30],"clinical":[31,134],"trials":[32,55],"are":[33,56],"one":[34],"best":[37],"ways":[38],"to":[39,66,96,108,137,151,161],"reduce":[40],"incidence":[42],"reactions,":[45],"but":[46],"number":[49],"potential":[51,74],"interactions":[53],"grows,":[54],"becoming":[57],"enormously":[58],"time-consuming":[59],"costly.":[61],"Hence,":[62],"we":[63],"set":[64],"out":[65],"develop":[67],"an":[68],"alternative":[69],"that":[70,122],"could":[71],"widely":[72],"identify":[73],"ADRs.":[75],"Our":[76],"solution":[77],"is":[78],"a":[79,130],"\u201cdrug-ADR\u201d":[80],"network":[81,90],"built":[82],"from":[83],"semantic":[84],"subject-action-object":[85],"structures,":[86],"combined":[87],"analysis":[91],"link":[93],"prediction":[94,111],"methods":[95,104],"reveal":[97],"likely":[98],"reactions.":[100],"Some":[101],"similarity":[102],"calculating":[103],"also":[105],"be":[106,127,149],"used":[107,128,150],"improve":[109],"our":[110],"accuracy.":[112],"Evaluations":[113],"results":[116],"against":[117],"medical":[119],"literature":[120],"show":[121],"predictions":[124],"produced":[125],"can":[126,148],"weather":[131],"vane":[132],"for":[133,155],"trials,":[135],"helping":[136],"save":[138],"R&D":[139],"time":[140],"capital":[142],"costs.":[143],"In":[144],"addition,":[145],"framework":[147],"provide":[152],"useful":[153],"guidance":[154],"discovering":[156],"new":[157,166],"indications":[159],"or":[160],"inform":[162],"development":[164],"drugs.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}