{"id":"https://openalex.org/W7126088017","doi":"https://doi.org/10.1109/bibm66473.2025.11356844","title":"A Plug-and-Play Discrepancy and Time Aware Block for Mortality Risk Prediction from Serial Electrocardiograms","display_name":"A Plug-and-Play Discrepancy and Time Aware Block for Mortality Risk Prediction from Serial Electrocardiograms","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126088017","doi":"https://doi.org/10.1109/bibm66473.2025.11356844"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":null,"display_name":"Jiarui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jiarui Chen","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026254427","display_name":"B H Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72320271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1598","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7835999727249146,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7835999727249146,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.06870000064373016,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.05090000107884407,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6499999761581421},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.511900007724762},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5034999847412109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4794999957084656},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.41589999198913574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4101000130176544},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.3828999996185303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656499981880188},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6499999761581421},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4043000042438507},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.3828999996185303},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.32190001010894775},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2703000009059906},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7953619956970215,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2742491462","https://openalex.org/W2924401090","https://openalex.org/W3088846105","https://openalex.org/W3104075323","https://openalex.org/W4319076887","https://openalex.org/W4319298080","https://openalex.org/W4322760726","https://openalex.org/W4385245566","https://openalex.org/W4389425951","https://openalex.org/W4393343822","https://openalex.org/W4394688746","https://openalex.org/W4395683219","https://openalex.org/W4395959958","https://openalex.org/W4403332058","https://openalex.org/W4407555152"],"related_works":[],"abstract_inverted_index":{"Background:":[0],"Serial":[1],"electrocardiography":[2],"(ECG)":[3],"enables":[4],"detection":[5],"of":[6,23,79],"subtle":[7],"cardiac":[8],"deterioration":[9],"hours":[10],"to":[11,36,43,76,130],"days":[12],"before":[13,100],"fatal":[14],"events,":[15],"yet":[16],"current":[17],"clinical":[18,73],"practice":[19],"lacks":[20],"automated":[21],"quantification":[22],"inter-recording":[24],"discrepancies,":[25],"relying":[26],"on":[27],"manual":[28],"comparison":[29],"instead.":[30],"Existing":[31],"deep-learning":[32],"mortality":[33,136],"predictors":[34],"fail":[35],"capture":[37],"crucial":[38],"temporal":[39,59],"dynamics\u2014either":[40],"reducing":[41],"admissions":[42],"static":[44],"probabilities":[45,137],"or":[46],"disregarding":[47],"death":[48],"timing.":[49],"Current":[50],"methods":[51],"also":[52],"inadequately":[53],"handle":[54],"irregular":[55],"ECG":[56],"intervals,":[57],"discard":[58],"context,":[60],"process":[61],"ECGs":[62],"in":[63],"isolation":[64],"(losing":[65],"evolutionary":[66],"patterns),":[67],"and":[68,99,114],"exhibit":[69],"performance":[70],"degradation":[71],"across":[72],"centers":[74],"due":[75],"simplistic":[77],"handling":[78],"non-uniform":[80],"sampling.":[81],"We":[82],"propose":[83],"a":[84,115,131],"lightweight,":[85],"plug-and-play":[86],"Discrepancy-Time":[87],"Aware":[88],"Block":[89],"(DTAB)":[90],"that":[91,127],"can":[92],"be":[93],"inserted":[94],"after":[95],"CNN":[96],"feature":[97],"extractor":[98],"sequential":[101],"encoder":[102],"(LSTM/Transformer).":[103],"DTAB":[104],"combines":[105],"two":[106],"core":[107],"mechanisms,":[108],"discrepancy":[109],"vectors":[110],"encoding":[111],"inter-ECG":[112],"changes":[113],"time-aware":[116],"gating":[117],"mechanism":[118],"for":[119,138],"memory":[120],"decay.":[121],"The":[122],"block":[123],"outputs":[124],"time-calibrated":[125],"embeddings":[126],"are":[128],"propagated":[129],"multi-window":[132],"survival":[133],"head":[134],"yielding":[135],"six":[139],"clinically":[140],"relevant":[141],"horizons":[142],"(24":[143],"h\u20132":[144],"months).":[145]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-01-30T00:00:00"}