{"id":"W4360989112","doi":"10.18280/ria.370111","title":"An Improved CHI2 Feature Selection Based a Two-Stage Prediction of Comorbid Cancer Patient Survivability","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Survivability; Stage (stratigraphy); Feature selection; Selection (genetic algorithm); Cancer; Feature (linguistics); Artificial intelligence; Computer science; Pattern recognition (psychology); Medicine; Internal medicine; Biology","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":[0.002450952,0.0008697092,0.001429353,0.001636621,0.0005903632,0.0008777074,0.001384202,0.0009682046,0.002287014],"category_scores_gemma":[0.005413509,0.0002995095,0.001410938,0.001541786,0.0003047501,0.0007555701,0.0007610491,0.001285244,0.0005827675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570745,"about_ca_system_score_gemma":0.001454184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976848,"about_ca_topic_score_gemma":0.01434742,"domain_scores_codex":[0.9989448,0.0003000167,0.00009947598,0.0002539728,0.0002082305,0.0001935011],"domain_scores_gemma":[0.9961972,0.002317871,0.0001633775,0.0001955592,0.0009360713,0.0001899877],"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":[0.003688001,0.001590095,0.193129,0.0003162659,0.0007403002,0.001253235,0.0003597806,0.2834935,0.01118224,0.001590741,0.0219692,0.4806878],"study_design_scores_gemma":[0.00004462516,0.0002123768,0.01021669,0.00001180226,0.00005247513,0.0001482163,0.00002982553,0.9871337,0.0009006658,0.0006361156,0.0005889519,0.00002455375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4770499,0.00136527,0.5093251,0.002354667,0.0004264766,0.0003684555,0.004415698,0.003175256,0.001519154],"genre_scores_gemma":[0.932285,0.0001943454,0.0612552,0.0003263337,0.000213521,0.0002375003,0.003402418,0.0000517892,0.00203389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01976848,"threshold_uncertainty_score":0.03930682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330360776437908,"score_gpt":0.4441641436887612,"score_spread":0.3111280660449704,"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."}}