{"id":"W7162416197","doi":"10.32628/cseit24103218","title":"Comparative Analysis of Machine learning Model for Diabetes Prediction","year":2024,"lang":"","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Naive Bayes classifier; Diabetes mellitus; Artificial neural network; Random forest; Focus (optics); Stability (learning theory); Disease","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":[0.00845056,0.001511306,0.001923249,0.003456226,0.0006237749,0.001746518,0.001419235,0.00138054,0.003310035],"category_scores_gemma":[0.01812599,0.0002544507,0.001652204,0.002555558,0.0002559279,0.001496548,0.0006485358,0.001572307,0.0007907512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823153,"about_ca_system_score_gemma":0.001406709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691804,"about_ca_topic_score_gemma":0.01164849,"domain_scores_codex":[0.9971956,0.001336282,0.000248495,0.0003992926,0.0005862649,0.0002340261],"domain_scores_gemma":[0.9793699,0.01677577,0.0004082144,0.0005907155,0.002580506,0.0002749599],"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":[0.003125469,0.0008014456,0.06004462,0.0008098534,0.001118088,0.0003415174,0.0001000667,0.6964579,0.0004956577,0.003340754,0.02190998,0.2114546],"study_design_scores_gemma":[0.00004496477,0.0003016572,0.007614189,0.00007486803,0.0001662724,0.00006390033,0.00007719718,0.9883035,0.0003380137,0.001720885,0.001268141,0.00002644568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.756442,0.06626058,0.1293971,0.007197693,0.002427062,0.0004386163,0.01347909,0.003620898,0.02073694],"genre_scores_gemma":[0.9533865,0.005720409,0.02545654,0.0004094553,0.0003754877,0.0001578453,0.01155419,0.0001216509,0.00281792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691804,"threshold_uncertainty_score":0.05352277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396018110459764,"score_gpt":0.4712912813648319,"score_spread":0.3316894703188555,"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."}}