{"doi":"10.22489/cinc.2023.047","title":"Comparison of Machine Learning Detection of Low Left Ventricular Ejection Fraction Using Individual ECG Leads","abstract":"The 12-lead electrocardiogram (ECG) is the most common front-line diagnosis tool for assessing cardiovascular health, yet traditional ECG analysis cannot detect many diseases. Machine learning (ML) techniques have emerged as a powerful set of techniques for producing automated and robust ECG analysis tools that can often predict diseases and conditions not detectable by traditional ECG analysis. Many contemporary ECG-ML studies have focused on utilizing the full 12-lead ECG; however, with the increased availability of single-lead ECG data from wearable devices, there is a clear motivation to explore the development of single-lead ECG-ML techniques. In this study we developed and applied a deep learning architecture for the detection of low left ventricular ejection fraction (LVEF), and compared the performance of this architecture when it was trained with individual leads of the 12-lead ECG to the performance when trained using the entire 12-lead ECG. We observed that single-lead-trained networks performed similarly to the full 12-lead-trained network. We also noted patterns of agreement and disagreement between network low LVEF predictions across the different lead-trained networks.","journal":"Computing in cardiology","year":2023,"id":395569,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9483,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":448982,"name":"Brian Zenger","orcid":"0000-0002-0039-9184","position":1,"is_corresponding":false},{"id":680519,"name":"James Brundage","orcid":"0000-0003-1603-6406","position":2,"is_corresponding":false},{"id":353927,"name":"Rob MacLeod","orcid":"0000-0002-0000-0356","position":3,"is_corresponding":false},{"id":499215,"name":"Rashmee U. Shah","orcid":"0000-0002-7823-8540","position":4,"is_corresponding":false},{"id":467594,"name":"Xiangyang Ye","orcid":"0000-0003-2722-3653","position":5,"is_corresponding":false},{"id":1171203,"name":"Ann Lyones","orcid":null,"position":6,"is_corresponding":false},{"id":237803,"name":"Ravi Ranjan","orcid":"0000-0002-3321-2435","position":7,"is_corresponding":false},{"id":286130,"name":"Tolga Taşdizen","orcid":"0000-0001-6574-0366","position":8,"is_corresponding":false},{"id":344517,"name":"T. Jared Bunch","orcid":"0000-0001-5349-0136","position":9,"is_corresponding":false},{"id":1171204,"name":"Benajmin Steinberg","orcid":null,"position":10,"is_corresponding":false},{"id":557657,"name":"Jake Bergquist","orcid":"0000-0002-4586-6911","position":0,"is_corresponding":true}],"reference_count":6,"raw_metadata":null,"created_at":"2026-07-19T01:19:22.857556Z","pmid":"39193485","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}