{"id":"W1991222875","doi":"10.1109/iembs.2010.5625982","title":"Intelligent Clinical Decision Support Systems based on SNOMED CT","year":2010,"lang":"en","type":"article","venue":"","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"SNOMED CT; Computer science; Decision support system; Clinical decision support system; Systematized Nomenclature of Medicine; Artificial intelligence; Data mining; Intelligent decision support system; Process (computing); Information retrieval; Terminology","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":[0.003851382,0.0007939311,0.0008474482,0.005203424,0.0006451307,0.003428524,0.001179113,0.0009537748,0.003623135],"category_scores_gemma":[0.01540366,0.0004110188,0.0006675979,0.003476331,0.0007334114,0.00279862,0.001496702,0.001043114,0.001320235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009181187,"about_ca_system_score_gemma":0.001779901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002456023,"about_ca_topic_score_gemma":0.003682058,"domain_scores_codex":[0.9966398,0.001561722,0.0005257946,0.0003199861,0.0008819837,0.00007059568],"domain_scores_gemma":[0.9916375,0.005478854,0.0006703227,0.0006332057,0.00138543,0.0001947434],"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":[0.0009197194,0.0002560043,0.005724618,0.001290884,0.0004119285,0.001932388,0.000793511,0.1059111,0.007150278,0.09479643,0.02742282,0.7533903],"study_design_scores_gemma":[0.000278499,0.0003079569,0.003319419,0.001030424,0.0003584752,0.001782515,0.0005450773,0.6174138,0.01127547,0.2867672,0.07671303,0.0002081156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02158601,0.003945548,0.9492291,0.004681887,0.0002724008,0.0006224848,0.002819725,0.00503179,0.01181095],"genre_scores_gemma":[0.1587756,0.002469999,0.8331844,0.0008971899,0.0002162152,0.000307456,0.002673243,0.0001043323,0.001371506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005203424,"threshold_uncertainty_score":0.02036834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3280054473452616,"score_gpt":0.4708973819526968,"score_spread":0.1428919346074352,"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."}}