{"id":"https://openalex.org/W3202149807","doi":"https://doi.org/10.1109/tcbb.2021.3118418","title":"Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases","display_name":"Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3202149807","doi":"https://doi.org/10.1109/tcbb.2021.3118418","mag":"3202149807","pmid":"https://pubmed.ncbi.nlm.nih.gov/34618675"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3118418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3118418","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5026558223","display_name":"Ying An","orcid":"https://orcid.org/0000-0003-0574-5135"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying An","raw_affiliation_strings":["Big Data Institute, Central South University, Changsha, Hunan, China","Institute of Information Security and Big Data, Central South University, 12570 Changsha, Hunan, China, 410083 (e-mail: anying@csu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Institute of Information Security and Big Data, Central South University, 12570 Changsha, Hunan, China, 410083 (e-mail: anying@csu.edu.cn)","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101483200","display_name":"Kun Tang","orcid":"https://orcid.org/0000-0002-8221-2060"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","[Computer Science, Central South University, ChangSha, Hunan, China, (e-mail: tangkun@csu.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"[Computer Science, Central South University, ChangSha, Hunan, China, (e-mail: tangkun@csu.edu.cn)]","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438360","display_name":"Jianxin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","[Computer Science, Central South University, ChangSha, Hunan China 410083 (e-mail: jxwang@mail.csu.edu.cn)]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"[Computer Science, Central South University, ChangSha, Hunan China 410083 (e-mail: jxwang@mail.csu.edu.cn)]","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026558223"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":3.9426,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.94622949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"3725","last_page":"3734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":1.0,"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/T13702","display_name":"Machine Learning in Healthcare","score":1.0,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7209422588348389},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6363252997398376},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5703105330467224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5288026332855225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5285507440567017},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5011539459228516},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4946713149547577},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47643715143203735},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4681698679924011},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.44904884696006775},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.44540679454803467},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4443950057029724},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.43070894479751587},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.4267258644104004},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38534167408943176},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37124550342559814},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.2934950590133667},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19410932064056396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209422588348389},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6363252997398376},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5703105330467224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5288026332855225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5285507440567017},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5011539459228516},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4946713149547577},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47643715143203735},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4681698679924011},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.44904884696006775},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.44540679454803467},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4443950057029724},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.43070894479751587},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.4267258644104004},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38534167408943176},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37124550342559814},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2934950590133667},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19410932064056396},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2021.3118418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3118418","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34618675","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34618675","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G4060047945","display_name":null,"funder_award_id":"2018JJ2534","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G7923915280","display_name":null,"funder_award_id":"U1909208","funder_id":"https://openalex.org/F4320334064","funder_display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization"}],"funders":[{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334064","display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W136010251","https://openalex.org/W1553469512","https://openalex.org/W2079735306","https://openalex.org/W2130942839","https://openalex.org/W2143612262","https://openalex.org/W2255847468","https://openalex.org/W2481271618","https://openalex.org/W2511950764","https://openalex.org/W2557074642","https://openalex.org/W2592944988","https://openalex.org/W2601264762","https://openalex.org/W2690721124","https://openalex.org/W2732167418","https://openalex.org/W2742491462","https://openalex.org/W2766563193","https://openalex.org/W2767786571","https://openalex.org/W2771596807","https://openalex.org/W2772422223","https://openalex.org/W2788548088","https://openalex.org/W2790392145","https://openalex.org/W2796547658","https://openalex.org/W2808915113","https://openalex.org/W2809396336","https://openalex.org/W2907554505","https://openalex.org/W2913977338","https://openalex.org/W2916269539","https://openalex.org/W2944774301","https://openalex.org/W2963208801","https://openalex.org/W2963271116","https://openalex.org/W2963650911","https://openalex.org/W2964312993","https://openalex.org/W2964758338","https://openalex.org/W2964959375","https://openalex.org/W2967597710","https://openalex.org/W2971724044","https://openalex.org/W2973432116","https://openalex.org/W2998409174","https://openalex.org/W3004402226","https://openalex.org/W3008421095","https://openalex.org/W3106326134","https://openalex.org/W3124513836","https://openalex.org/W3175546201","https://openalex.org/W4289083414","https://openalex.org/W4289281983","https://openalex.org/W6605526090","https://openalex.org/W6679436768","https://openalex.org/W6726186668","https://openalex.org/W6735887502","https://openalex.org/W6746648512","https://openalex.org/W6756192370","https://openalex.org/W6759258263","https://openalex.org/W6766253204"],"related_works":["https://openalex.org/W2952512863","https://openalex.org/W3134504629","https://openalex.org/W2066369805","https://openalex.org/W2938696877","https://openalex.org/W4323911413","https://openalex.org/W1982536061","https://openalex.org/W4210631502","https://openalex.org/W4286796787","https://openalex.org/W2547404991","https://openalex.org/W2952582877"],"abstract_inverted_index":{"Predicting":[0],"the":[1,8,40,63,66,70,79,117,121,128,153,185,199,206],"future":[2],"risk":[3,102],"of":[4,55,65,136,161],"cardiovascular":[5,99],"diseases":[6,100],"from":[7,158],"historical":[9],"Electronic":[10],"Health":[11],"Records":[12],"(EHRs)":[13],"is":[14,114,148,174],"a":[15,89,109,133,165,194],"significant":[16],"research":[17],"task":[18],"in":[19,43],"personalized":[20],"healthcare":[21],"fields.":[22],"In":[23,104],"recent":[24],"years,":[25],"many":[26],"deep":[27],"neural":[28,145],"network-based":[29],"methods":[30,50],"have":[31],"emerged,":[32],"which":[33,113],"model":[34,127,192],"patient":[35,187],"disease":[36,81,129],"progression":[37,130],"by":[38],"capturing":[39],"temporal":[41,154],"patterns":[42],"sequential":[44],"visit":[45],"data.":[46,163],"However,":[47],"most":[48],"existing":[49],"that":[51,203],"integrate":[52,177],"different":[53],"types":[54,160],"clinical":[56,162],"data":[57,167],"often":[58],"do":[59],"not":[60],"fully":[61],"consider":[62],"impact":[64],"patient's":[67,80,118],"age":[68,119],"and":[69,120,143,155,180,198],"irregular":[71],"time":[72,123],"interval":[73],"between":[74,124],"consecutive":[75],"medical":[76,196],"records":[77],"on":[78,116,172,193],"development.":[82],"To":[83],"address":[84],"these":[85],"challenges,":[86],"we":[87,107],"propose":[88],"Time-Aware":[90],"Multi-type":[91],"Data":[92],"fUsion":[93],"Representation":[94],"learning":[95],"framework":[96],"(TAMDUR)":[97],"for":[98],"(CVDs)":[101],"prediction.":[103],"this":[105],"framework,":[106],"design":[108],"time-aware":[110],"decay":[111],"function,":[112],"based":[115,171],"elapsed":[122],"visits,":[125],"to":[126,150,176,183],"pattern.":[131],"Then,":[132],"parallel":[134],"combination":[135],"bidirectional":[137],"long":[138],"short-term":[139],"memory":[140],"(Bi_LSTM)":[141],"network":[142,146],"convolutional":[144],"(CNN)":[147],"constructed":[149],"respectively":[151],"learn":[152],"non-temporal":[156],"features":[157,179],"various":[159,178],"Finally,":[164],"multi-type":[166],"fusion":[168],"representation":[169],"layer":[170],"self-attention":[173],"utilized":[175],"their":[181],"correlations":[182],"obtain":[184],"final":[186],"representation.":[188],"We":[189],"evaluate":[190],"our":[191],"real":[195],"dataset,":[197],"experimental":[200],"results":[201],"demonstrate":[202],"TAMDUR":[204],"outperforms":[205],"state-of-the-art":[207],"approaches.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}