{"id":"W2547447314","doi":"10.32920/ryerson.14660673","title":"Comparative analysis of classification models for diagnosis Type 2 Diabetes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Hospital for Sick Children; McMaster University","keywords":"C4.5 algorithm; Machine learning; Computer science; Decision tree; Artificial intelligence; Data mining; Medical diagnosis; Expert system; Multilayer perceptron; Support vector machine; Perceptron; Naive Bayes classifier; Artificial neural network; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009718485,0.0008629058,0.001457965,0.003861024,0.0004705514,0.001729558,0.00093282,0.001108271,0.001594031],"category_scores_gemma":[0.02815826,0.0001958671,0.001640956,0.002046826,0.0002333723,0.001180813,0.000474871,0.0008232099,0.0003188386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817468,"about_ca_system_score_gemma":0.001083769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008840141,"about_ca_topic_score_gemma":0.004654861,"domain_scores_codex":[0.9965659,0.001883985,0.0002581161,0.0003639724,0.0007646098,0.0001634457],"domain_scores_gemma":[0.962208,0.03387756,0.0006479588,0.0006318726,0.002452632,0.0001820285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002956251,0.0007054198,0.0842296,0.0008138302,0.001749629,0.0002585754,0.000389798,0.4905039,0.001308602,0.008773057,0.005076853,0.4032345],"study_design_scores_gemma":[0.00003176873,0.0002991793,0.01278598,0.00008224873,0.0002321965,0.00008165748,0.0001495946,0.9821699,0.0007266279,0.002649107,0.0007682885,0.00002353097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.676488,0.01650396,0.2892505,0.002290012,0.0005426428,0.0004176116,0.002218673,0.00116612,0.01112247],"genre_scores_gemma":[0.937105,0.00224478,0.05748717,0.0001445733,0.0001026483,0.0001601083,0.001565449,0.0000504638,0.001139718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009718485,"threshold_uncertainty_score":0.05139691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5582518129913863,"score_gpt":0.567110148366119,"score_spread":0.008858335374732684,"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."}}