{"id":"https://openalex.org/W2784168210","doi":"https://doi.org/10.1109/access.2017.2789324","title":"Predicting the Risk of Heart Failure With EHR Sequential Data Modeling","display_name":"Predicting the Risk of Heart Failure With EHR Sequential Data Modeling","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2784168210","doi":"https://doi.org/10.1109/access.2017.2789324","mag":"2784168210"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2789324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2789324","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2789324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051178997","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0002-4094-7499"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-4094-7499","affiliations":[{"raw_affiliation_string":"School of Innovation and Entrepreneurship, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008461757","display_name":"Chao Che","orcid":"https://orcid.org/0000-0003-2978-5430"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Che","raw_affiliation_strings":["Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412091","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0003-3103-4011"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["School of Computer Science, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101440662","display_name":"Shulong Zhang","orcid":"https://orcid.org/0000-0001-9146-449X"},"institutions":[{"id":"https://openalex.org/I4210145090","display_name":"Affiliated Zhongshan Hospital of Dalian University","ror":"https://ror.org/041ts2d40","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145090"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulong Zhang","raw_affiliation_strings":["Affiliated Zhongshan Hospital of Dalian University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affiliated Zhongshan Hospital of Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210145090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010211770","display_name":"Xiaomeng Yin","orcid":"https://orcid.org/0000-0002-1897-7448"},"institutions":[{"id":"https://openalex.org/I191996457","display_name":"Dalian Medical University","ror":"https://ror.org/04c8eg608","country_code":"CN","type":"education","lineage":["https://openalex.org/I191996457"]},{"id":"https://openalex.org/I4210140813","display_name":"First Affiliated Hospital of Dalian Medical University","ror":"https://ror.org/055w74b96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210140813"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Yin","raw_affiliation_strings":["The First Affiliated Hospital of Dalian Medical University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Dalian Medical University, Dalian, China","institution_ids":["https://openalex.org/I191996457","https://openalex.org/I4210140813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003257736","display_name":"Xiaopeng Wei","orcid":"https://orcid.org/0000-0002-8497-611X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Wei","raw_affiliation_strings":["School of Computer Science, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.1648,"has_fulltext":false,"cited_by_count":162,"citation_normalized_percentile":{"value":0.98734242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"9256","last_page":"9261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965999722480774,"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":0.9958000183105469,"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/health-records","display_name":"Health records","score":0.7157700061798096},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.7063318490982056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6376004219055176},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4762953817844391},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44570860266685486},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4451005756855011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42784184217453003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34567883610725403},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23360493779182434},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.13210278749465942},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11506789922714233}],"concepts":[{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.7157700061798096},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.7063318490982056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376004219055176},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4762953817844391},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44570860266685486},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4451005756855011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42784184217453003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34567883610725403},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23360493779182434},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.13210278749465942},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11506789922714233},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2789324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2789324","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8ed552773de446919b14a5e024ac5830","is_oa":true,"landing_page_url":"https://doaj.org/article/8ed552773de446919b14a5e024ac5830","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 9256-9261 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2789324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2789324","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G5551712144","display_name":null,"funder_award_id":"61751203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5908775821","display_name":null,"funder_award_id":"91546123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6565709209","display_name":null,"funder_award_id":"61425002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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":35,"referenced_works":["https://openalex.org/W145476170","https://openalex.org/W277705329","https://openalex.org/W1509181890","https://openalex.org/W1905882502","https://openalex.org/W1908962573","https://openalex.org/W1924770834","https://openalex.org/W1999802986","https://openalex.org/W2024760831","https://openalex.org/W2031967811","https://openalex.org/W2053530354","https://openalex.org/W2064675550","https://openalex.org/W2077215834","https://openalex.org/W2084351656","https://openalex.org/W2100649405","https://openalex.org/W2109244020","https://openalex.org/W2117014758","https://openalex.org/W2121382432","https://openalex.org/W2142817672","https://openalex.org/W2146808236","https://openalex.org/W2157331557","https://openalex.org/W2165817472","https://openalex.org/W2187187251","https://openalex.org/W2242522500","https://openalex.org/W2313953460","https://openalex.org/W2518582440","https://openalex.org/W2595328592","https://openalex.org/W2624164341","https://openalex.org/W2752740243","https://openalex.org/W2963078493","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6605963037","https://openalex.org/W6680532216","https://openalex.org/W6681420213","https://openalex.org/W6686450415"],"related_works":["https://openalex.org/W588655279","https://openalex.org/W2383994333","https://openalex.org/W642714463","https://openalex.org/W2099628268","https://openalex.org/W2554558516","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688","https://openalex.org/W2413325029","https://openalex.org/W2739554337"],"abstract_inverted_index":{"Electronic":[0],"health":[1],"records":[2,11],"(EHRs)":[3],"contain":[4],"patient":[5,48],"diagnostic":[6,41],"records,":[7,9],"physician":[8],"and":[10,30,43,67,75,116,124,151],"of":[12,85,102,133,153,160,163],"hospital":[13],"departments.":[14],"For":[15],"heart":[16,79,91,126,164],"failure,":[17],"we":[18,35,112],"can":[19,36],"obtain":[20],"mass":[21],"unstructured":[22],"data":[23,61,145],"from":[24],"EHR":[25,60],"time":[26],"series.":[27],"By":[28],"analyzing":[29],"mining":[31],"these":[32],"time-based":[33],"EHRs,":[34],"identify":[37],"the":[38,58,100,121,130,148,154,158,161],"links":[39],"between":[40],"events":[42,123,128],"ultimately":[44],"predict":[45,90,99],"when":[46],"a":[47,94,134,143],"will":[49],"be":[50],"diagnosed.":[51],"However,":[52],"it":[53],"is":[54,88],"difficult":[55],"to":[56,89,98,119],"use":[57],"existing":[59],"directly,":[62],"because":[63],"they":[64],"are":[65],"sparse":[66],"non-standardized.":[68],"Thus,":[69],"this":[70,86],"paper":[71,87],"proposes":[72],"an":[73],"effective":[74],"robust":[76],"architecture":[77,156],"for":[78],"failure":[80,92,127],"prediction.":[81],"The":[82],"main":[83],"contribution":[84],"using":[93,129],"neural":[95],"network":[96,138],"(i.e.,":[97],"possibility":[101],"cardiac":[103],"illness":[104],"based":[105,141],"on":[106,142],"patient's":[107],"electronic":[108],"medical":[109],"data).":[110],"Specifically,":[111],"employed":[113],"one-hot":[114],"encoding":[115],"word":[117],"vectors":[118],"model":[120],"diagnosis":[122],"predicted":[125],"basic":[131],"principles":[132],"long":[135],"short-term":[136],"memory":[137],"model.":[139],"Evaluations":[140],"real-world":[144],"set":[146],"demonstrate":[147],"promising":[149],"utility":[150],"efficacy":[152],"proposed":[155],"in":[157],"prediction":[159],"risk":[162],"failure.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":26},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
