{"id":"https://openalex.org/W4410616184","doi":"https://doi.org/10.1109/tce.2025.3572452","title":"An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials","display_name":"An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials","publication_year":2025,"publication_date":"2025-05-01","ids":{"openalex":"https://openalex.org/W4410616184","doi":"https://doi.org/10.1109/tce.2025.3572452"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3572452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3572452","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5034291335","display_name":"Baoshuo Kan","orcid":"https://orcid.org/0009-0001-5802-9274"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoshuo Kan","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science, South China Normal University, China"],"raw_orcid":"https://orcid.org/0009-0001-5802-9274","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047351419","display_name":"Teng Wang","orcid":"https://orcid.org/0000-0003-2331-3619"},"institutions":[{"id":"https://openalex.org/I64427410","display_name":"Hong Kong Shue Yan University","ror":"https://ror.org/023t8mt09","country_code":"CN","type":"education","lineage":["https://openalex.org/I64427410"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Teng Wang","raw_affiliation_strings":["Department of Computer Science, University of Hong Kong, Siu Lek Yuen, Hong Kong","Department of Computer Science, University of Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2331-3619","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Hong Kong, Siu Lek Yuen, Hong Kong","institution_ids":["https://openalex.org/I64427410","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Computer Science, University of Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002370273","display_name":"Hengdong Zhu","orcid":"https://orcid.org/0000-0002-0911-5571"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengdong Zhu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science, South China Normal University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005849650","display_name":"Rongjiao Liang","orcid":"https://orcid.org/0000-0002-8514-9263"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongjiao Liang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science, South China Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-8514-9263","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086542214","display_name":"Enliang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enliang Yan","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science, South China Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-2488-6374","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072482402","display_name":"Fu Lee Wang","orcid":"https://orcid.org/0000-0002-3976-0053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Lee Wang","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3976-0053","affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080646275","display_name":"Tianyong Hao","orcid":"https://orcid.org/0000-0002-9792-3949"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China","School of Computer Science, South China Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-9792-3949","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Computer Science, South China Normal University, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86565363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"71","issue":"2","first_page":"3340","last_page":"3349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.920799970626831,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.920799970626831,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9182000160217285,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9020000100135803,"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/computer-science","display_name":"Computer science","score":0.5567317008972168},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5360731482505798},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5176244378089905},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.48900020122528076},{"id":"https://openalex.org/keywords/adverse-effect","display_name":"Adverse effect","score":0.4791128635406494},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27691733837127686},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12464302778244019},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09841203689575195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5567317008972168},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5360731482505798},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5176244378089905},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.48900020122528076},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.4791128635406494},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27691733837127686},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12464302778244019},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09841203689575195},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3572452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3572452","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3224267913","display_name":null,"funder_award_id":"62372189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3709667520","display_name":null,"funder_award_id":"No. 62372189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6791203498","display_name":null,"funder_award_id":"2024A1111120004","funder_id":"https://openalex.org/F4320309617","funder_display_name":"National Foundation for Science and Technology Development"}],"funders":[{"id":"https://openalex.org/F4320309617","display_name":"National Foundation for Science and Technology Development","ror":"https://ror.org/04rw64z44"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1832679015","https://openalex.org/W1995875735","https://openalex.org/W2025653905","https://openalex.org/W2064675550","https://openalex.org/W2111941108","https://openalex.org/W2143976354","https://openalex.org/W2145578524","https://openalex.org/W2150884987","https://openalex.org/W2160976181","https://openalex.org/W2382298227","https://openalex.org/W2396881363","https://openalex.org/W2408641126","https://openalex.org/W2531470489","https://openalex.org/W2738577285","https://openalex.org/W2810261801","https://openalex.org/W2911489562","https://openalex.org/W2963716420","https://openalex.org/W2965373594","https://openalex.org/W3046375318","https://openalex.org/W3184862737","https://openalex.org/W4210389911","https://openalex.org/W4310568840","https://openalex.org/W4312127771","https://openalex.org/W4376461006","https://openalex.org/W4385626993","https://openalex.org/W4386136390","https://openalex.org/W4387346425","https://openalex.org/W4391936063","https://openalex.org/W6640212811","https://openalex.org/W6726030733","https://openalex.org/W6732520560","https://openalex.org/W6746052068","https://openalex.org/W6755207826","https://openalex.org/W6768851824","https://openalex.org/W6771242713","https://openalex.org/W6776048684","https://openalex.org/W6784526300","https://openalex.org/W6788811087","https://openalex.org/W6838154772","https://openalex.org/W6838847448"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,4,9,65,183,186,208,237],"growth":[2],"of":[3,67,148,192,226],"healthcare":[5],"consumer":[6],"electronics":[7],"market,":[8],"clinical":[10,36,61,121],"trial":[11,62,82,96,156],"industry":[12],"is":[13,19,142,214],"facing":[14],"new":[15],"opportunities":[16],"and":[17,45,52,99,125,155,181,189],"there":[18],"an":[20,129,198],"increasing":[21],"focus":[22],"on":[23,230],"safety":[24,41],"to":[25,43,75,106,144,161,165,170,201,206,216,243],"protect":[26],"patients":[27,44],"from":[28,102],"potential":[29],"risks.":[30],"Serious":[31,112],"adverse":[32,70,139],"events":[33],"(SAEs)":[34],"in":[35,60,85,220,239],"trials":[37],"may":[38,176],"pose":[39],"significant":[40],"threats":[42],"incur":[46],"substantial":[47],"economic":[48],"losses.":[49],"Therefore,":[50],"predicting":[51,240],"preventing":[53],"SAEs":[54,178,241],"has":[55],"become":[56],"a":[57,108,211],"critical":[58],"issue":[59],"research.":[63],"However,":[64],"lack":[66],"standardized":[68],"serious":[69,138],"event":[71,140,193,204],"data":[72,104],"limits":[73],"studies":[74],"specific":[76],"conditions":[77],"(e.g.,":[78],"target":[79,153],"diseases":[80],"or":[81],"phases),":[83],"resulting":[84],"insufficient":[86],"general":[87],"applicability.":[88],"To":[89],"address":[90],"this":[91,93],"challenge,":[92],"paper":[94],"aggregates":[95],"protocol,":[97],"drug,":[98],"disease":[100],"information":[101],"multiple":[103],"sources":[105],"create":[107],"universal":[109,146],"dataset":[110,118],"for":[111,137],"Adverse":[113],"Events":[114],"prediction":[115,141,147],"(SerAE).":[116],"The":[117,228],"encompasses":[119],"10,643":[120],"trials,":[122],"4,512":[123],"diseases,":[124,154],"2,563":[126],"drugs.":[127],"Furthermore,":[128],"Event-aware":[130],"Dual":[131],"Representation":[132],"model":[133],"with":[134],"mixture-of-Expert":[135],"(EDRE)":[136],"proposed":[143],"achieve":[145],"SAEs.":[149,227],"Specifically,":[150],"drug":[151],"molecules,":[152],"eligibility":[157],"criteria":[158],"are":[159,195],"encoded":[160],"acquire":[162],"respective":[163],"representations":[164,188],"construct":[166],"dual":[167,187],"representations,":[168],"aiming":[169],"comprehensively":[171],"utilize":[172],"various":[173],"factors":[174],"that":[175,233],"trigger":[177],"both":[179],"before":[180],"during":[182],"trials.":[184],"Subsequently,":[185],"relevant":[190],"knowledge":[191],"categories":[194],"input":[196],"into":[197],"event-aware":[199],"module":[200],"aggregate":[202],"salient":[203],"clues":[205],"enhance":[207],"representations.":[209],"Finally,":[210],"mixture-of-experts":[212],"classifier":[213],"designed":[215],"simulate":[217],"expert":[218],"interactions":[219],"multidisciplinary":[221],"consultations,":[222],"providing":[223],"comprehensive":[224],"predictions":[225],"experiments":[229],"SerAE":[231],"demonstrate":[232],"EDRE":[234],"significantly":[235],"enhances":[236],"performance":[238],"compared":[242],"state-of-the-art":[244],"baseline":[245],"models.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
