{"id":"W3162841855","doi":"10.18280/isi.260210","title":"A Diabetic Prediction System Based on Mean Shift Clustering","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Bayes' theorem; Naive Bayes classifier; Diabetes mellitus; Body mass index; Artificial intelligence; Mean-shift; Medicine; Computer science; Machine learning; Internal medicine; Pattern recognition (psychology); Endocrinology; Bayesian probability","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":[0.0007654837,0.0007049597,0.000987774,0.001572554,0.0009396909,0.001034484,0.001345354,0.0009705446,0.001778969],"category_scores_gemma":[0.001504293,0.0003221913,0.0007238235,0.001144209,0.0001756983,0.0006975181,0.0005393172,0.0006230417,0.001424716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009480823,"about_ca_system_score_gemma":0.0009459723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.028654,"about_ca_topic_score_gemma":0.01858708,"domain_scores_codex":[0.9994444,0.00005234614,0.00005259744,0.0002167298,0.0001708543,0.00006308298],"domain_scores_gemma":[0.9993529,0.0001098266,0.0000498605,0.00006288249,0.0003841425,0.00004035867],"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":[0.001232195,0.0006804981,0.02063083,0.0001921002,0.0002988887,0.0006916608,0.000190224,0.1267738,0.01738659,0.001925471,0.0196662,0.8103315],"study_design_scores_gemma":[0.00002630773,0.00008808379,0.003120014,0.0000127288,0.00005536546,0.0001591937,0.00003178831,0.9877421,0.005923691,0.001222901,0.001583492,0.00003433774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1948982,0.00125695,0.7641758,0.0009742356,0.0005775382,0.0004113557,0.002126771,0.02871408,0.006865117],"genre_scores_gemma":[0.7243282,0.0004682292,0.2658314,0.0002962537,0.0001524899,0.0001860611,0.002522525,0.0001581153,0.006056671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.028654,"threshold_uncertainty_score":0.05697447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05846500220636072,"score_gpt":0.3479139689302561,"score_spread":0.2894489667238953,"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."}}