{"id":"https://openalex.org/W4387581386","doi":"https://doi.org/10.1101/2023.10.11.23296910","title":"Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease","display_name":"Time-Dependent ECG-AI Prediction of Fatal Coronary Heart Disease","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4387581386","doi":"https://doi.org/10.1101/2023.10.11.23296910"},"language":"en","primary_location":{"id":"doi:10.1101/2023.10.11.23296910","doi":"https://doi.org/10.1101/2023.10.11.23296910","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2023.10.11.23296910","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2023/10/12/2023.10.11.23296910.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.medrxiv.org/content/medrxiv/early/2023/10/12/2023.10.11.23296910.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"L. Butler","orcid":"https://orcid.org/0000-0001-5880-2282","observed_orcids":["https://orcid.org/0000-0001-5880-2282"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Butler","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":"https://orcid.org/0000-0001-5880-2282","affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664857","display_name":"Alexander Ivanov","orcid":"https://orcid.org/0000-0002-8942-0081","observed_orcids":["https://orcid.org/0000-0002-8942-0081"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Ivanov","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062032724","display_name":"Turgay Cel\u0131k","orcid":"https://orcid.org/0000-0001-8418-0130","observed_orcids":["https://orcid.org/0000-0001-8418-0130","https://orcid.org/0000-0001-6925-6010"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Celik","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":"https://orcid.org/0000-0001-8418-0130","affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027592744","display_name":"\u0130brahi\u0307m Karabayir","orcid":"https://orcid.org/0000-0002-7928-176X","observed_orcids":["https://orcid.org/0000-0002-7928-176X"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I. Karabayir","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066607244","display_name":"Lokesh K. Chinthala","orcid":"https://orcid.org/0000-0002-1258-8353","observed_orcids":["https://orcid.org/0000-0002-1258-8353"]},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Chinthala","raw_affiliation_strings":["Center for Biomedical Informatics, University of Tennessee Health Sciences Center, Memphis, TN 38163, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomedical Informatics, University of Tennessee Health Sciences Center, Memphis, TN 38163, USA","institution_ids":["https://openalex.org/I160606119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066509740","display_name":"M. Samie Tootooni","orcid":"https://orcid.org/0000-0001-7235-4914","observed_orcids":["https://orcid.org/0000-0001-7235-4914"]},"institutions":[{"id":"https://openalex.org/I1925986","display_name":"Loyola University Chicago","ror":"https://ror.org/04b6x2g63","country_code":"US","type":"education","lineage":["https://openalex.org/I1925986"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. M. Tootooni","raw_affiliation_strings":["Loyola University Chicago, Health Informatics and Data Science, Maywood, Illinois, 60660"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Loyola University Chicago, Health Informatics and Data Science, Maywood, Illinois, 60660","institution_ids":["https://openalex.org/I1925986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042217377","display_name":"Byron C. Jaeger","orcid":"https://orcid.org/0000-0001-7399-2299","observed_orcids":["https://orcid.org/0000-0001-7399-2299"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. C Jaeger","raw_affiliation_strings":["Division of Public Health Science, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, NC 27101, USA"],"raw_orcid":"https://orcid.org/0000-0001-7399-2299","affiliations":[{"raw_affiliation_string":"Division of Public Health Science, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001202436","display_name":"Adam Doerr","orcid":"https://orcid.org/0009-0006-4611-7919","observed_orcids":["https://orcid.org/0009-0006-4611-7919"]},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Doerr","raw_affiliation_strings":["Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 01655, USA","Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 016, USA"],"raw_orcid":"https://orcid.org/0009-0006-4611-7919","affiliations":[{"raw_affiliation_string":"Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 01655, USA","institution_ids":["https://openalex.org/I166722992"]},{"raw_affiliation_string":"Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 016, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052539701","display_name":"David D. McManus","orcid":"https://orcid.org/0000-0002-9343-6203","observed_orcids":["https://orcid.org/0000-0002-9343-6203"]},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. D. McManus","raw_affiliation_strings":["Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 01655, USA","Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 016, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 01655, USA","institution_ids":["https://openalex.org/I166722992"]},{"raw_affiliation_string":"Department of Medicine, University of Massachusetts Chan Medical School, Massachusetts, MA 016, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031184113","display_name":"L. R. Davis","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. R. Davis","raw_affiliation_strings":["Center for Biomedical Informatics, University of Tennessee Health Sciences Center, Memphis, TN 38163, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomedical Informatics, University of Tennessee Health Sciences Center, Memphis, TN 38163, USA","institution_ids":["https://openalex.org/I160606119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071844909","display_name":"David M. Herrington","orcid":"https://orcid.org/0000-0002-7670-6400","observed_orcids":["https://orcid.org/0000-0002-7670-6400"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Herrington","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047770817","display_name":"O\u011fuz Akbilgi\u00e7","orcid":"https://orcid.org/0000-0003-0313-9254","observed_orcids":["https://orcid.org/0000-0003-0313-9254"]},"institutions":[{"id":"https://openalex.org/I4405269449","display_name":"Wake Forest University Health Sciences","ror":"https://ror.org/046r1r105","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"O. Akbilgic","raw_affiliation_strings":["Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 27101, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]},{"raw_affiliation_string":"Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, NC 270, USA","institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047770817"],"corresponding_institution_ids":["https://openalex.org/I4405269449","https://openalex.org/I47251452"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9965999722480774,"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":0.9965999722480774,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0012000000569969416,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronary-heart-disease-mortality","display_name":"coronary heart disease mortality","score":0.890999972820282},{"id":"https://openalex.org/keywords/sudden-cardiac-death","display_name":"sudden cardiac death","score":0.9490000009536743},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7149999737739563},{"id":"https://openalex.org/keywords/single-lead-ecg","display_name":"single-lead ECG","score":0.8700000047683716},{"id":"https://openalex.org/keywords/12-lead-electrocardiogram","display_name":"12-lead ECG","score":0.9490000009536743},{"id":"https://openalex.org/keywords/cox-proportional-hazards-model","display_name":"Cox proportional hazards model","score":0.9359999895095825},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"risk stratification","score":0.5460000038146973},{"id":"https://openalex.org/keywords/general-population","display_name":"general population","score":0.38600000739097595},{"id":"https://openalex.org/keywords/african-american-patients","display_name":"African American patients","score":0.3799999952316284},{"id":"https://openalex.org/keywords/cardiovascular-risk-prediction","display_name":"cardiovascular risk prediction","score":0.3149999976158142},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.3310000002384186}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6288328766822815},{"id":"https://openalex.org/C2775935837","wikidata":"https://www.wikidata.org/wiki/Q202837","display_name":"Sudden cardiac death","level":2,"score":0.5305997133255005},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.5090367197990417},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.49100807309150696},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4796157777309418},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.47691819071769714},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.44978415966033936},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.432608962059021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38179337978363037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568442463874817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2532652020454407},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.15367251634597778},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1101/2023.10.11.23296910","doi":"https://doi.org/10.1101/2023.10.11.23296910","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2023.10.11.23296910","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2023/10/12/2023.10.11.23296910.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1101/2023.10.11.23296910","doi":"https://doi.org/10.1101/2023.10.11.23296910","is_oa":true,"landing_page_url":"https://doi.org/10.1101/2023.10.11.23296910","pdf_url":"https://www.medrxiv.org/content/medrxiv/early/2023/10/12/2023.10.11.23296910.full.pdf","source":{"id":"https://openalex.org/S3005729997","display_name":"medRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":["https://openalex.org/P4310315909"],"host_organization_lineage_names":["Cold Spring Harbor Laboratory Press"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"medRxiv","raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9922999739646912}],"sustainable_development_goals_aurora":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8500000238418579}],"study_designs":[{"display_name":"Observational Study","id":"https://openalex.org/study-designs/observational-study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387581386.pdf","grobid_xml":"https://content.openalex.org/works/W4387581386.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1821665499","https://openalex.org/W1985848888","https://openalex.org/W2021941221","https://openalex.org/W2039244426","https://openalex.org/W2048266671","https://openalex.org/W2068643322","https://openalex.org/W2100763980","https://openalex.org/W2119361626","https://openalex.org/W2150016021","https://openalex.org/W2194775991","https://openalex.org/W2507866051","https://openalex.org/W2604847258","https://openalex.org/W2754745286","https://openalex.org/W2784094750","https://openalex.org/W2791453970","https://openalex.org/W2809442687","https://openalex.org/W2969218775","https://openalex.org/W2988568711","https://openalex.org/W2995720524","https://openalex.org/W3091531762","https://openalex.org/W3092302756","https://openalex.org/W3201304426","https://openalex.org/W3206143748","https://openalex.org/W4205830518","https://openalex.org/W4225262958","https://openalex.org/W4281390437","https://openalex.org/W4293695668","https://openalex.org/W4294952502","https://openalex.org/W4306319339","https://openalex.org/W4313700861","https://openalex.org/W4382467968"],"related_works":["https://openalex.org/W3213778696","https://openalex.org/W2027570649","https://openalex.org/W2883017972","https://openalex.org/W2744105963","https://openalex.org/W1967738824","https://openalex.org/W2994686985","https://openalex.org/W4281722959","https://openalex.org/W4389829534","https://openalex.org/W3043432080","https://openalex.org/W4317600379"],"abstract_inverted_index":{"Abstract":[0,327],"Background":[1],"Sudden":[2],"cardiac":[3],"death":[4,39],"(SCD)":[5],"affects":[6],">4":[7],"million":[8],"people":[9],"globally,":[10],"and":[11,34,85,104,119,126,138,144,147,161,176,187,197,217,233,238,243,262,312],"\u223d300,000":[12],"yearly":[13],"in":[14,52,212],"the":[15,79,185,194,247],"US.":[16],"Fatal":[17],"coronary":[18,30,55],"heart":[19],"disease":[20,31],"(FCHD)":[21],"is":[22,32,62],"used":[23,116],"as":[24,89,91,141],"a":[25,221,302],"proxy":[26],"to":[27,60,68,73,117],"SCD":[28],"when":[29],"present":[33],"no":[35,258],"other":[36,300],"causes":[37],"of":[38,109,190,207,223,229],"can":[40,287],"be":[41,288],"identified.":[42],"Electrocardiographic":[43],"(ECG)":[44],"artificial":[45],"intelligence":[46],"(AI)":[47],"models":[48,72,123,130,156,201,240,315],"(ECG-AI)":[49],"show":[50],"promise":[51],"predicting":[53],"adverse":[54],"events":[56],"yet":[57],"their":[58],"application":[59],"FCHD":[61,77,266,286,324],"limited.":[63],"Objectives":[64],"This":[65],"research":[66],"aimed":[67],"develop":[69,118],"accurate":[70],"ECG-AI":[71,162],"predict":[74],"risk":[75,267,284],"for":[76,170,285,318,323],"within":[78],"general":[80],"population":[81],"using":[82,136,157,184],"waveform":[83],"12-":[84,137,237],"single-lead":[86,139,198,311],"ECG":[87,294,314],"data":[88,106,160,295],"well":[90],"assess":[92],"time-dependent":[93],"risk.":[94,325],"Methods":[95],"Standard":[96],"10-second":[97],"12-lead":[98,195,313],"ECGs":[99,140,225],"sampled":[100],"at":[101],"250Hz,":[102],"demographic":[103],"clinical":[105,159],"from":[107,193,293],"University":[108],"Tennessee":[110],"Health":[111],"Science":[112],"Center":[113],"(UTHSC)":[114],"were":[115,124,182,210,275],"validate":[120],"models.":[121],"Eight":[122],"developed":[125],"tested:":[127],"two":[128],"classification":[129],"with":[131,173,220,226,257,290,299],"convolutional":[132],"neural":[133],"networks":[134],"(CNN)":[135],"inputs":[142],"(12-ECG-AI":[143],"1-ECG-AI,":[145],"respectively)":[146],"six":[148],"time-":[149],"dependent":[150],"cox":[151],"proportional":[152],"hazard":[153],"regression":[154],"(CPHR)":[155],"demographics,":[158],"outputs.":[163],"The":[164,236,250,271],"dataset":[165],"was":[166,202,254,306],"split":[167],"into":[168],"80%":[169],"model":[171,253],"derivation,":[172],"five-fold":[174],"cross-validation,":[175],"20%":[177],"holdout":[178,248],"test":[179],"set.":[180],"Models":[181],"evaluated":[183],"AUC":[186],"C-Index.":[188],"Correlation":[189],"predicted":[191,289],"risks":[192],"(12-ECG-AI)":[196],"(1-ECG-AI)":[199],"CNN":[200],"assessed.":[203],"Results":[204],"A":[205],"total":[206,222],"50,132":[208],"patients":[209],"included":[211],"this":[213],"study":[214],"(29,093":[215],"controls":[216],"21,039":[218],"cases)":[219],"167,662":[224],"mean":[227],"age":[228],"62.50\u00b114.80years,":[230],"53.4%":[231],"males":[232],"48.5%":[234],"African-Americans.":[235],"1-ECG-AI":[239],"resulted":[241],"AUCs=0.77":[242],"0.76,":[244],"respectively":[245],"on":[246],"data.":[249],"best":[251],"performing":[252],"C12-ECG-AI-Cox":[255],"(demographics+clinical+ECG)":[256],"time":[259],"restriction":[260],"AUC=0.85(0.84-0.86)":[261],"C-Index=":[263],"0.78(0.77-0.79).":[264],"2-year":[265,283],"prediction":[268],"reached":[269],"AUC=0.91(0.90-0.92).":[270],"12-/1-ECG-AI":[272],"models\u2019":[273],"predictions":[274],"highly":[276],"correlated":[277],"(R":[278],"2":[279],"=":[280],"0.72).":[281],"Conclusion":[282],"moderate":[291],"accuracy":[292,305],"alone.":[296],"When":[297],"combined":[298],"data,":[301],"very":[303],"high":[304],"obtained.":[307],"High":[308],"correlation":[309],"between":[310],"infer":[316],"opportunities":[317],"screening":[319],"larger":[320],"patient":[321],"populations":[322],"Graphical":[326]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
