{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009025404,0.0006201344,0.0006133866,0.00198816,0.0003262606,0.001024675,0.0005491527,0.0007229387,0.002458388],"category_scores_gemma":[0.002204064,0.0001814998,0.0007542396,0.001198791,0.0002518054,0.0008484433,0.0005012648,0.0008555528,0.0009590718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802628,"about_ca_system_score_gemma":0.0003935823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001725023,"about_ca_topic_score_gemma":0.001396789,"domain_scores_codex":[0.9994187,0.0001156298,0.00006132298,0.00012913,0.0002151442,0.0000599899],"domain_scores_gemma":[0.999168,0.0004126112,0.00008914403,0.00008871279,0.0002150851,0.00002643583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001635122,0.0002156011,0.004084042,0.0001263825,0.0001047416,0.0001173187,0.00007737835,0.05369785,0.01466504,0.003199937,0.002657195,0.920891],"study_design_scores_gemma":[0.000009081837,0.0000799132,0.002598777,0.00002022184,0.00002284918,0.0001248553,0.00003308185,0.9866101,0.006471167,0.002144515,0.00186973,0.0000156242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0452948,0.0007016721,0.9474816,0.0003013526,0.000262311,0.0001348395,0.0002117661,0.00247509,0.003136486],"genre_scores_gemma":[0.6685067,0.0006129646,0.3247926,0.0001544628,0.0002118864,0.0001866086,0.0006690979,0.0001202579,0.004745312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002458388,"threshold_uncertainty_score":0.00822413,"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."}}