{"id":"W4403131774","doi":"10.69660/jcsda.01012402","title":"Feature Selection Methods for ICU Mortality Prediction Model","year":2024,"lang":"en","type":"article","venue":"Journal of computational science and data analytics.","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Feature selection; Feature (linguistics); Selection (genetic algorithm); Computer science; Artificial intelligence; Model selection; Machine learning; Data mining","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":[0.005694158,0.00008210631,0.0001405954,0.0003478941,0.0002716056,0.000558126,0.0009441509,0.00004042664,0.000001374088],"category_scores_gemma":[0.0006893903,0.00006465558,0.00003992897,0.001025498,0.0001097466,0.002562398,0.0002310543,0.0002562702,6.387075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032598,"about_ca_system_score_gemma":0.00129458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007741677,"about_ca_topic_score_gemma":0.000002591409,"domain_scores_codex":[0.998446,0.0000695089,0.0002863691,0.000356494,0.0006757384,0.0001658274],"domain_scores_gemma":[0.9981652,0.0003650643,0.0001669742,0.0002295991,0.0009312637,0.0001418824],"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":[0.00001081607,0.00003426805,0.001603775,0.0001369876,0.00006376032,0.000004950565,0.0003340816,0.7117928,0.0002903185,0.08561539,0.01643481,0.1836781],"study_design_scores_gemma":[0.00007915276,0.00008956794,0.004865242,0.00003546454,0.00002844824,0.0001250256,0.000009073688,0.9365855,0.00001906986,0.05407862,0.004027108,0.00005770786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002146662,0.000391497,0.989592,0.007235864,0.0004298795,0.00008195919,0.00003472748,0.00003409491,0.00005332821],"genre_scores_gemma":[0.2047487,0.00003138673,0.7946981,0.000249808,0.000204246,0.000001070141,0.00001674787,0.000004069924,0.00004579702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2247928,"threshold_uncertainty_score":0.5382022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000080039555527,"score_gpt":0.4719367953243956,"score_spread":0.3719287913688429,"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."}}