{"id":"W3051585024","doi":"10.17577/ijertv9is080128","title":"Heart Disease Prediction using Machine Learning","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering Research and","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","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":[0.001051733,0.0006175378,0.0008022499,0.002627539,0.0003037251,0.001212741,0.0005673046,0.0008471645,0.002446047],"category_scores_gemma":[0.003553804,0.0001757707,0.0009682208,0.001519398,0.0001405912,0.0007087516,0.0004422429,0.0008919555,0.0013777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174252,"about_ca_system_score_gemma":0.0005531473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005600675,"about_ca_topic_score_gemma":0.004330069,"domain_scores_codex":[0.9994437,0.0001173949,0.00006226363,0.0001526122,0.0001452308,0.00007874892],"domain_scores_gemma":[0.9986094,0.0007908879,0.0001780665,0.00008258763,0.0002646703,0.00007437272],"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":[0.0008078737,0.001172185,0.3481205,0.0004588951,0.0006837383,0.0007869018,0.00009120533,0.1516743,0.002551583,0.001812229,0.02012069,0.4717199],"study_design_scores_gemma":[0.00005390857,0.0004432834,0.04823583,0.0001722073,0.0001717682,0.0005010823,0.00009357749,0.9364946,0.002511645,0.00597286,0.005298981,0.00005015811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6142549,0.01219346,0.3224874,0.005599359,0.00129052,0.0005856357,0.02197793,0.005169789,0.01644107],"genre_scores_gemma":[0.9441291,0.001921824,0.04167215,0.000263846,0.0003742291,0.0001394985,0.00883489,0.00003709896,0.002627386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005600675,"threshold_uncertainty_score":0.01113611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3126787626644636,"score_gpt":0.5388033808490724,"score_spread":0.2261246181846088,"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."}}