{"id":"W4383745578","doi":"10.1109/memea57477.2023.10171887","title":"ECG Multi Class Classification Using Machine Learning Techniques","year":2023,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Support vector machine; Artificial intelligence; Feature extraction; MATLAB; Machine learning; Wavelet transform; Field (mathematics); Heart failure; Artificial neural network; Pattern recognition (psychology); Class (philosophy); Wavelet; Data mining; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002209409,0.00007681262,0.0001431301,0.0002098008,0.0001062144,0.00001635898,0.00003705316,0.0000645922,0.00004903116],"category_scores_gemma":[0.0001050361,0.00006225616,0.00007218533,0.0004918216,0.00001953549,0.00004014005,0.00002413863,0.0001806919,0.0001067655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005186388,"about_ca_system_score_gemma":0.00001906808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002560673,"about_ca_topic_score_gemma":0.00001058612,"domain_scores_codex":[0.9993726,0.0000287651,0.000145081,0.0001668833,0.0001404591,0.0001462265],"domain_scores_gemma":[0.9996521,0.00003043931,0.00004313804,0.0001532098,0.00006050935,0.00006062607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000116462,0.00005420468,0.4435548,0.00004383207,0.0000619717,0.00001998917,0.00008236943,0.00007321971,0.5218882,0.00003594316,0.0002364338,0.03393734],"study_design_scores_gemma":[0.0002222367,0.00004502556,0.01758123,0.00006789577,0.00009922176,0.000008521833,0.0003502056,0.9105858,0.06298689,0.000008895943,0.007944712,0.00009938544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965638,0.00009184574,0.02462276,0.00204004,0.0001277585,0.0001907269,0.000001718486,0.002511635,0.004775539],"genre_scores_gemma":[0.945218,0.0001014663,0.0346636,0.00007798668,0.0001819675,0.000007471269,0.0000455628,0.00002225807,0.01968166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9105126,"threshold_uncertainty_score":0.2538732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208971962258094,"score_gpt":0.3805718553955428,"score_spread":0.2596746591697334,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}