{"id":"W4395078300","doi":"10.18280/ria.380210","title":"Prognostic Evaluation, Prediction and Regimen of Diseases Using SVM, NB and RF Classifiers","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Regimen; Medicine; Machine learning; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353427,0.0002016828,0.0003068702,0.0002443548,0.0005971877,0.00003836844,0.0001313542,0.0002126449,0.0003687748],"category_scores_gemma":[0.001293711,0.0001908648,0.00005930174,0.0005508472,0.0003592353,0.0002895746,0.0001203995,0.0004437169,0.00009458694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930491,"about_ca_system_score_gemma":0.0004652498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004236915,"about_ca_topic_score_gemma":0.00009035576,"domain_scores_codex":[0.9971817,0.0004110554,0.0010228,0.000584585,0.0003468775,0.0004530449],"domain_scores_gemma":[0.9973416,0.001386352,0.0002035789,0.0003711827,0.0004760434,0.0002212175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002767731,0.0002922079,0.5998576,0.01080127,0.0002189563,0.00004575889,0.05364233,0.01543736,0.01581155,0.0396519,0.004274311,0.2596899],"study_design_scores_gemma":[0.00003207724,0.0001506144,0.002361908,0.002180811,0.0001827119,0.00001406359,0.0165159,0.9626501,0.002407153,0.01102837,0.002283615,0.0001927245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968892,0.0112184,0.01312634,0.001321874,0.001577879,0.002281057,0.0001029802,0.0001954186,0.001284085],"genre_scores_gemma":[0.9977897,0.0006942941,0.0003393223,0.00007508566,0.0003061201,0.0001596819,0.00002160447,0.00003806879,0.0005760849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9472127,"threshold_uncertainty_score":0.7783239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186517202035013,"score_gpt":0.4652279150510931,"score_spread":0.2465761948475917,"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."}}