{"id":"W2949767632","doi":"10.1109/access.2019.2923707","title":"Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1871,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"China Medical University","keywords":"Computer science; Machine learning; Random forest; Heart disease; Artificial intelligence; Predictive modelling; Disease; Internet of Things; Support vector machine; The Internet; Data mining; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150902783212159,"score_gpt":0.4976392046669986,"score_spread":0.3825489263457827,"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."}}