{"id":"W4386499055","doi":"10.1117/12.2692214","title":"Heart disease prediction using machine learning models","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","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":[0.001094477,0.0006393413,0.0005275091,0.001576902,0.0002844105,0.001224469,0.0006582886,0.0008801474,0.003064196],"category_scores_gemma":[0.005346022,0.000274456,0.001024236,0.001122689,0.0001213078,0.0008229606,0.0003636846,0.001159654,0.001648776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006752049,"about_ca_system_score_gemma":0.0006358899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527497,"about_ca_topic_score_gemma":0.01513312,"domain_scores_codex":[0.9994767,0.0001614338,0.00004425994,0.0001396561,0.000109776,0.00006824098],"domain_scores_gemma":[0.9977582,0.001511662,0.0001296177,0.0001273754,0.0003911685,0.00008199064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005698847,0.0008697698,0.09074348,0.0002405812,0.0003394297,0.0003272706,0.0001021968,0.5705268,0.001148891,0.002860518,0.03057132,0.3016998],"study_design_scores_gemma":[0.00001557688,0.00005700353,0.004422701,0.00003142392,0.00002119075,0.0000506593,0.00003020211,0.9904168,0.0004339051,0.002957419,0.001550543,0.00001257541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4890769,0.005591751,0.44806,0.009111327,0.001166802,0.0003818299,0.01571836,0.007065967,0.02382707],"genre_scores_gemma":[0.8988724,0.001113743,0.0828998,0.0003795015,0.0002458401,0.0001155948,0.01073765,0.0000797807,0.005555707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01527497,"threshold_uncertainty_score":0.03037214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4458009128790462,"score_gpt":0.5205755946972299,"score_spread":0.07477468181818375,"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."}}