{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000937757,0.00006117778,0.0001127542,0.0002119621,0.0002091315,0.00002428846,0.0001733479,0.00004803857,0.0001311295],"category_scores_gemma":[0.003063633,0.00005611544,0.00003041308,0.0001213332,0.00003925812,0.000194466,0.0001120018,0.001281218,0.00002303388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000152106,"about_ca_system_score_gemma":0.0002239544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410562,"about_ca_topic_score_gemma":0.000003942906,"domain_scores_codex":[0.9984344,0.0001563332,0.0004184231,0.0001012621,0.0006480236,0.0002415385],"domain_scores_gemma":[0.9977978,0.0005330764,0.00009289771,0.00004412772,0.001115541,0.0004165872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009617968,0.00004994905,0.9114344,0.0002864667,0.00009493366,0.0002449544,0.003103419,0.06198215,0.01796211,0.00154718,0.00128215,0.00105045],"study_design_scores_gemma":[0.0003883164,0.0004536372,0.01606675,0.0007218923,0.000008632005,0.00003357458,0.001009164,0.9402398,0.0004258916,0.0008329163,0.03970993,0.000109441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798813,0.001065838,0.005465976,0.01260846,0.0007215134,0.0001617767,0.00002220162,0.00002928188,0.00004358225],"genre_scores_gemma":[0.9970732,0.000164326,0.0009722928,0.0001829067,0.001546982,0.000003096143,0.000003278635,0.00001573913,0.00003815282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8953677,"threshold_uncertainty_score":0.5566326,"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."}}