{"id":"W4229455753","doi":"10.18280/ts.390208","title":"Obstructive Sleep Apnea (OSA) Classification Based on Heart Rate Variability (HRV) on Electrocardiogram (ECG) Signal Using Support Vector Machine (SVM)","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Telkom","keywords":"Support vector machine; Heart rate variability; Obstructive sleep apnea; Sleep apnea; Artificial intelligence; Pattern recognition (psychology); Electrocardiography; Computer science; SIGNAL (programming language); Speech recognition; Medicine; Heart rate; Cardiology; Internal medicine; Blood pressure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006799608,0.0003721061,0.0004463269,0.0007343825,0.0001180183,0.0003631804,0.0001842202,0.0003379809,0.0004806939],"category_scores_gemma":[0.00155511,0.00007853002,0.0003513984,0.0003565868,0.00009040522,0.0002928567,0.0001623929,0.0002686011,0.0002146275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009100255,"about_ca_system_score_gemma":0.0001416512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009756962,"about_ca_topic_score_gemma":0.0007249477,"domain_scores_codex":[0.9996644,0.00008800493,0.00005045108,0.00006538114,0.00009597161,0.00003580247],"domain_scores_gemma":[0.9994279,0.0003151761,0.00006670702,0.0000276515,0.0001425946,0.0000199428],"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":[0.0008086764,0.000534573,0.1084375,0.0002772481,0.0002415352,0.0003053891,0.0001652492,0.03402229,0.06542057,0.0004614865,0.001878137,0.7874475],"study_design_scores_gemma":[0.00003182354,0.0008871793,0.11356,0.00005674144,0.0001038036,0.0004364289,0.0001524182,0.8668342,0.01641817,0.0004413692,0.001046365,0.00003153734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82261,0.001054455,0.1733855,0.0001607003,0.0001283096,0.00008880302,0.000306779,0.0006820784,0.00158338],"genre_scores_gemma":[0.9708909,0.0002481139,0.02794744,0.00001955481,0.00002761697,0.00002739772,0.000265006,0.000009348132,0.0005645223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009756962,"threshold_uncertainty_score":0.003596008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158160054101296,"score_gpt":0.2957568775961418,"score_spread":0.2641752770551288,"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."}}