{"id":"W3142430493","doi":"10.18280/ria.350108","title":"Prediction of Sudden Health Crises Owing to Congestive Heart Failure with Deep Learning Models","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heart failure; Medicine; Health care; Artificial intelligence; Health records; Intensive care medicine; Multilayer perceptron; Perceptron; Artificial neural network; Medical emergency; Computer science; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006662225,0.0001915024,0.0003733202,0.000156697,0.0003077608,0.0001027719,0.0004709272,0.00007461383,0.00006463057],"category_scores_gemma":[0.0003652425,0.0001896868,0.00007663036,0.001104274,0.00005508513,0.0004037752,0.0002373064,0.0004759563,0.0000774147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101187,"about_ca_system_score_gemma":0.0002902454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941192,"about_ca_topic_score_gemma":0.0001568612,"domain_scores_codex":[0.997554,0.0003554704,0.000560476,0.0007104967,0.0003467215,0.0004728167],"domain_scores_gemma":[0.9979953,0.00032998,0.000196689,0.0007026707,0.0005225167,0.0002528682],"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":[0.00001164811,0.00006000812,0.00513834,0.0001799879,0.00001560192,0.00001618216,0.009190255,0.9493254,0.0006182131,0.01115052,0.0002720575,0.02402183],"study_design_scores_gemma":[0.0000419658,0.0005309734,0.0006131402,0.0004599764,0.000005678737,0.0001015196,0.003292331,0.976422,0.01407818,0.0008886054,0.00337774,0.0001879019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02719577,0.0005800698,0.9611359,0.009792312,0.0002009583,0.0003228185,0.000004840739,0.0002004645,0.0005668282],"genre_scores_gemma":[0.9243765,0.00004317034,0.07462095,0.0004720351,0.00006451,0.00002816606,0.000009576133,0.00002219151,0.0003628802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8971807,"threshold_uncertainty_score":0.7735204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07542354778867674,"score_gpt":0.3044519736146037,"score_spread":0.2290284258259269,"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."}}