{"id":"W4393047893","doi":"10.17148/ijarcce.2024.13315","title":"Heart Disease Prediction System Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"IJARCCE","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Disease; 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":[0.00073108,0.0006312428,0.0009527785,0.002409782,0.0005285872,0.0009762443,0.000779124,0.0007332758,0.006527149],"category_scores_gemma":[0.002077093,0.0002446267,0.000651883,0.001143538,0.0001074801,0.0007284089,0.0005981714,0.0007166717,0.004329695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502927,"about_ca_system_score_gemma":0.0007362559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004769483,"about_ca_topic_score_gemma":0.003934325,"domain_scores_codex":[0.9995364,0.00005287992,0.00006646565,0.0001678462,0.0001328499,0.00004360109],"domain_scores_gemma":[0.9990927,0.000276632,0.0000989906,0.00009447822,0.0003414067,0.00009581313],"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":[0.00150675,0.001685577,0.1361581,0.0006056638,0.0004384017,0.002089985,0.0001383217,0.04613911,0.009829558,0.001669164,0.09043779,0.7093016],"study_design_scores_gemma":[0.0001895313,0.0006913078,0.04283033,0.0001299969,0.0002671266,0.001530827,0.00009483705,0.9101589,0.013814,0.004605379,0.02557397,0.0001137804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3299846,0.005405535,0.4901166,0.006213997,0.001854372,0.001762559,0.04766882,0.0911982,0.02579523],"genre_scores_gemma":[0.8301347,0.001537549,0.1214764,0.001183959,0.0006941073,0.0006826694,0.02916869,0.0002581622,0.01486371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006527149,"threshold_uncertainty_score":0.02183551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1979801443706748,"score_gpt":0.4988218898224244,"score_spread":0.3008417454517496,"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."}}