{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003219837,0.000555083,0.001042097,0.001338754,0.0003103541,0.0009653792,0.0004463913,0.0005745161,0.001511461],"category_scores_gemma":[0.007327477,0.0001129479,0.000951785,0.0006896289,0.0001543484,0.000672314,0.0003117875,0.0006122913,0.0006086268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342394,"about_ca_system_score_gemma":0.0006084255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188066,"about_ca_topic_score_gemma":0.002143555,"domain_scores_codex":[0.9993984,0.0002075946,0.0000864437,0.0001196863,0.0001261792,0.0000617224],"domain_scores_gemma":[0.997921,0.001154812,0.0001758267,0.000165895,0.0004788143,0.0001035907],"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":[0.002992854,0.0005313764,0.3802927,0.0003188879,0.0005015958,0.0002705158,0.0001807518,0.03067706,0.00688279,0.001215029,0.006396262,0.5697402],"study_design_scores_gemma":[0.0001779444,0.003014797,0.1984717,0.0003523178,0.001994705,0.001380544,0.0004311477,0.7691106,0.01205145,0.005493236,0.007424527,0.00009697936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7915431,0.008793081,0.1850821,0.00149919,0.0007499787,0.0002283827,0.003735376,0.001004238,0.007364509],"genre_scores_gemma":[0.9746727,0.001152593,0.0208056,0.00005970612,0.0001865102,0.00006111076,0.001361007,0.00002549109,0.001675294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003219837,"threshold_uncertainty_score":0.01702833,"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."}}