{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004519254,0.001522814,0.001762313,0.003047944,0.0006066588,0.000908588,0.001299398,0.0009709848,0.002278266],"category_scores_gemma":[0.007794434,0.0003703954,0.001845984,0.002257175,0.0002459208,0.0009068297,0.0005034159,0.001410929,0.0008318519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000659127,"about_ca_system_score_gemma":0.001284104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007767773,"about_ca_topic_score_gemma":0.004106511,"domain_scores_codex":[0.9981346,0.0008671666,0.0001861743,0.0003429378,0.0003171329,0.0001519453],"domain_scores_gemma":[0.9957963,0.002665224,0.0002525637,0.0001643502,0.001052254,0.00006927244],"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":[0.0003995835,0.000483016,0.02610956,0.0003304904,0.0006107423,0.0003774151,0.0001191182,0.3551482,0.003378625,0.002231813,0.01219903,0.5986124],"study_design_scores_gemma":[0.00002881531,0.00007139301,0.002618301,0.00002940962,0.00005429373,0.00005178279,0.00002280576,0.9940956,0.0007045969,0.0014779,0.0008265323,0.00001860543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05812335,0.001943877,0.9340708,0.0008369035,0.0002331555,0.0003189212,0.001239784,0.00235741,0.0008757965],"genre_scores_gemma":[0.6684951,0.001250894,0.3209054,0.0003853288,0.0004266092,0.001060618,0.004957573,0.0001792126,0.002339159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007767773,"threshold_uncertainty_score":0.02390039,"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."}}