{"id":"https://openalex.org/W4402980067","doi":"https://doi.org/10.1109/icme57554.2024.10687504","title":"ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations","display_name":"ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980067","doi":"https://doi.org/10.1109/icme57554.2024.10687504"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687504","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101842318","display_name":"Hengyu Zhang","orcid":"https://orcid.org/0000-0001-6046-2600"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hengyu Zhang","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103160210","display_name":"Hang Lv","orcid":"https://orcid.org/0009-0007-2566-390X"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Lv","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083137715","display_name":"Yanchao Tan","orcid":"https://orcid.org/0000-0002-3526-6859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Tan","raw_affiliation_strings":["Fuzhou University,College of Computer and Data Science,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,College of Computer and Data Science,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044056678","display_name":"Guofang Ma","orcid":"https://orcid.org/0000-0002-9076-7250"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guofang Ma","raw_affiliation_strings":["Zhejiang Gongshang University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University,School of Computer Science,China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602033","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-0757-0861"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["Zhejiang University,College of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Computer Science,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006897094","display_name":"Carl Yang","orcid":"https://orcid.org/0000-0001-9145-4531"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carl Yang","raw_affiliation_strings":["Emory University,Department of Computer Science,Atlanta,United States"],"affiliations":[{"raw_affiliation_string":"Emory University,Department of Computer Science,Atlanta,United States","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101842318"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67328598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.7674999833106995,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.7674999833106995,"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/ordinary-differential-equation","display_name":"Ordinary differential equation","score":0.6092814803123474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5834933519363403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815391540527344},{"id":"https://openalex.org/keywords/differential-equation","display_name":"Differential equation","score":0.4586913287639618},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3700081706047058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34490227699279785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2546389102935791},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16062569618225098}],"concepts":[{"id":"https://openalex.org/C51544822","wikidata":"https://www.wikidata.org/wiki/Q465274","display_name":"Ordinary differential equation","level":3,"score":0.6092814803123474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5834933519363403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815391540527344},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.4586913287639618},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3700081706047058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34490227699279785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2546389102935791},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16062569618225098}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687504","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312301","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2396881363","https://openalex.org/W2557074642","https://openalex.org/W2690721124","https://openalex.org/W2809396336","https://openalex.org/W2891400669","https://openalex.org/W2896538705","https://openalex.org/W3035219237","https://openalex.org/W3080098168","https://openalex.org/W3080670519","https://openalex.org/W3083581557","https://openalex.org/W3187228765","https://openalex.org/W4200635746","https://openalex.org/W4283821415","https://openalex.org/W4284682127","https://openalex.org/W4385568401","https://openalex.org/W4385768065","https://openalex.org/W4391549761"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W3102283898","https://openalex.org/W1977478463","https://openalex.org/W2043671984"],"abstract_inverted_index":{"Continuous":[0],"diagnosis":[1,51,70,152],"prediction":[2,153],"based":[3],"on":[4,132],"multi-modal":[5],"electronic":[6],"health":[7],"records":[8],"(EHRs)":[9],"of":[10,28,80,108,149],"patients":[11],"is":[12],"a":[13,77,95,113],"promising":[14],"yet":[15],"challenging":[16],"task":[17],"for":[18,68,151],"AI":[19],"in":[20,37,49],"healthcare.":[21],"Existing":[22],"studies":[23],"ignore":[24],"abundant":[25],"domain":[26,90],"knowledge":[27],"diseases":[29],"(e.g.,":[30],"specific":[31],"medical":[32],"terms":[33],"and":[34,47,111,125],"their":[35],"interrelations)":[36],"textual":[38,135],"EHRs,":[39],"which":[40],"fails":[41],"to":[42,85,103,118],"accurately":[43],"predict":[44],"disease":[45,87,109],"progression":[46],"assist":[48],"sequential":[50],"prediction.":[52,71],"To":[53],"this":[54],"end,":[55],"we":[56,74,93],"first":[57,75],"propose":[58,76,94],"an":[59],"Expert":[60],"enhanced":[61],"neural":[62],"Ordinary":[63,98],"Differential":[64,99],"Equations":[65],"(ExpertODE)":[66],"framework":[67,117],"continuous":[69],"In":[72],"particular,":[73],"novel":[78],"Mixture":[79],"Language":[81],"Experts":[82],"(MoLE)":[83],"module":[84,102,124],"enhance":[86],"embeddings":[88],"with":[89],"knowledge.":[91],"Furthermore,":[92],"Contrastive":[96],"Neural":[97],"Equation":[100],"(CNODE)":[101],"continuously":[104],"model":[105],"temporal":[106],"correlations":[107],"progression,":[110],"implement":[112],"unified":[114],"contrastive":[115],"learning":[116],"jointly":[119],"optimize":[120],"the":[121,126],"domain-based":[122],"MoLE":[123],"temporal-based":[127],"CNODE":[128],"module.":[129],"Extensive":[130],"experiments":[131],"two":[133],"real-world":[134],"EHR":[136],"datasets":[137],"show":[138],"significant":[139],"performance":[140],"gains":[141],"brought":[142],"by":[143],"our":[144],"ExpertODE,":[145],"yielding":[146],"average":[147],"improvements":[148],"3.91%":[150],"over":[154],"state-of-the-art":[155],"competitors.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}