{"id":"W4385078057","doi":"10.18280/isi.280322","title":"Evaluative Study of Machine Learning Classifiers in Predicting Heart Failure: A Focus on Imbalanced Datasets","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Focus (optics); Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02494785,0.001653271,0.001284382,0.002758168,0.0005907952,0.001747008,0.0008610287,0.001330034,0.0003765239],"category_scores_gemma":[0.03729802,0.0001880682,0.000662916,0.001651249,0.0006629669,0.002064128,0.001115513,0.001000332,0.0002126127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009061542,"about_ca_system_score_gemma":0.000907168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434303,"about_ca_topic_score_gemma":0.002018633,"domain_scores_codex":[0.9857108,0.009126868,0.0009929298,0.00142589,0.002399958,0.0003436043],"domain_scores_gemma":[0.9492427,0.04265315,0.001889749,0.00238422,0.003272386,0.0005578593],"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":[0.003717552,0.002707179,0.1408056,0.001042245,0.001549312,0.0002790719,0.0004526662,0.3548975,0.007264567,0.002568361,0.005054865,0.4796611],"study_design_scores_gemma":[0.0001303376,0.003877265,0.03945753,0.0001292193,0.0002285461,0.0001815458,0.0004110526,0.9459339,0.006165887,0.001635132,0.001802104,0.00004746837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9251187,0.01016197,0.05863625,0.0009864317,0.00027626,0.0003275682,0.0007293663,0.0004183315,0.003345133],"genre_scores_gemma":[0.9630286,0.001495857,0.03292011,0.0001369643,0.0001576726,0.0001175901,0.001532525,0.00003204792,0.0005786721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02494785,"threshold_uncertainty_score":0.1319385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09081469399695635,"score_gpt":0.4164349675309405,"score_spread":0.3256202735339842,"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."}}