{"id":"https://openalex.org/W4390446727","doi":"https://doi.org/10.22489/cinc.2023.434","title":"Neurological Outcome Prediction after Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion","display_name":"Neurological Outcome Prediction after Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion","publication_year":2023,"publication_date":"2023-11-26","ids":{"openalex":"https://openalex.org/W4390446727","doi":"https://doi.org/10.22489/cinc.2023.434"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2023.434","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2023.434","pdf_url":"http://dx.doi.org/10.22489/cinc.2023.434","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dx.doi.org/10.22489/cinc.2023.434","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087456017","display_name":"Bill B. Chen","orcid":"https://orcid.org/0000-0003-2695-5107"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bill Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005586","display_name":"Jerry Yang","orcid":"https://orcid.org/0009-0009-8581-8314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jerry Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090323993","display_name":"Will Ke Wang","orcid":"https://orcid.org/0000-0003-1444-5468"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Will Ke Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092714674","display_name":"Perisa Ashar","orcid":"https://orcid.org/0000-0002-9213-0229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Perisa Ashar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052917625","display_name":"Leeor Hershkovich","orcid":"https://orcid.org/0000-0001-7361-4765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leeor Hershkovich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103281454","display_name":"Hayoung Jeong","orcid":"https://orcid.org/0000-0002-0359-8218"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hayoung Jeong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031102176","display_name":"Md Mobashir Hasan Shandhi","orcid":"https://orcid.org/0000-0001-9541-529X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MD Mobashir Hasan Shandhi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005786784","display_name":"Jessilyn Dunn","orcid":"https://orcid.org/0000-0002-3241-8183"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jessilyn Dunn","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5087456017"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37554676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10645","display_name":"Cardiac Arrest and Resuscitation","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency 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/T10645","display_name":"Cardiac Arrest and Resuscitation","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6039979457855225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5942962765693665},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.562645673751831},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5538557171821594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5462590456008911},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4806736409664154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4764730930328369},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4557986855506897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0855381190776825}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6039979457855225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5942962765693665},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.562645673751831},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5538557171821594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5462590456008911},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4806736409664154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4764730930328369},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4557986855506897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0855381190776825},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22489/cinc.2023.434","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2023.434","pdf_url":"http://dx.doi.org/10.22489/cinc.2023.434","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.22489/cinc.2023.434","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2023.434","pdf_url":"http://dx.doi.org/10.22489/cinc.2023.434","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390446727.pdf","grobid_xml":"https://content.openalex.org/works/W4390446727.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W2153369162","https://openalex.org/W2181392282","https://openalex.org/W2119369480","https://openalex.org/W3141031773","https://openalex.org/W1595686156","https://openalex.org/W4375867731","https://openalex.org/W148937441","https://openalex.org/W1027719266","https://openalex.org/W4367046737"],"abstract_inverted_index":{"Cardiac":[0,16],"arrest":[1],"leads":[2],"to":[3,10,25,47,93],"complex":[4],"neurological":[5,31,103],"outcomes,":[6],"demanding":[7],"accurate":[8],"predictions":[9],"guide":[11],"post-arrest":[12],"care.Using":[13],"the":[14,55,76,85],"International":[15],"Arrest":[17],"Research":[18],"Consortium":[19],"(I-CARE)":[20],"dataset,":[21],"we":[22,53],"developed":[23],"models":[24,62],"discern":[26],"between":[27,58],"\"good\"":[28],"and":[29,50,84,89],"\"poor\"":[30],"outcomes":[32,104],"postcardiac":[33],"arrest.We":[34],"concatenated":[35],"clinically":[36],"relevant,":[37],"manually":[38],"extracted":[39,45],"EEG":[40],"features":[41,46,88],"with":[42,63],"autoencoder-derived,":[43],"automatically":[44],"train":[48],"transformer":[49,77],"Bi-LSTM":[51],"models.Additionally,":[52],"ensembled":[54],"predicted":[56],"probabilities":[57],"these":[59],"deep":[60],"learning":[61],"a":[64],"statistical":[65],"model":[66,95],"trained":[67],"on":[68],"non-EEG":[69],"clinical":[70],"variables.This":[71],"ensemble":[72],"approach":[73],"demonstrated":[74],"that":[75],"excel":[78],"at":[79],"capturing":[80],"long-term":[81],"temporal":[82],"dependencies,":[83],"fusion":[86],"of":[87,99],"prognosis":[90],"decisions":[91],"led":[92],"improved":[94],"performance":[96],"in":[97,101],"terms":[98],"AUROC":[100],"predicting":[102],"post-cardiac":[105],"arrest.":[106]},"counts_by_year":[],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
