{"id":"W4387224562","doi":"10.1504/ijbra.2023.133695","title":"Development of predictive model of diabetic using supervised machine learning classification algorithm of ensemble voting","year":2023,"lang":"en","type":"article","venue":"International Journal of Bioinformatics Research and Applications","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Ensemble learning; Machine learning; Artificial intelligence; Voting; Computer science; Algorithm; Majority rule; Pattern recognition (psychology)","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":[0.001435207,0.0005479204,0.001092807,0.0009580809,0.0004508817,0.0007782829,0.001392936,0.000710514,0.001251167],"category_scores_gemma":[0.002650466,0.0002990889,0.0009291206,0.0008061056,0.0002056663,0.0008859319,0.0004262877,0.0009367584,0.0003835166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006607833,"about_ca_system_score_gemma":0.001003456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356913,"about_ca_topic_score_gemma":0.00933191,"domain_scores_codex":[0.9995663,0.00009442245,0.00003799573,0.0001271515,0.000110582,0.00006360637],"domain_scores_gemma":[0.9989979,0.0003779653,0.00007077431,0.00006748773,0.0004533089,0.00003272251],"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":[0.0001131008,0.0001066514,0.01073483,0.00005295113,0.000102754,0.0001524762,0.0000726124,0.7928882,0.002506959,0.003254,0.002636982,0.1873786],"study_design_scores_gemma":[0.000001810881,0.000008449159,0.0002677909,0.000002330945,0.000005421539,0.00001197704,0.000002595593,0.9988779,0.0002593883,0.0004417122,0.0001180036,0.000002535706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07674012,0.000533441,0.9191425,0.000369859,0.0001355569,0.00007125296,0.0002272189,0.0008684635,0.001911528],"genre_scores_gemma":[0.8581011,0.0004530151,0.137004,0.0001442194,0.00009581275,0.0001574218,0.000677675,0.00005521307,0.003311472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356913,"threshold_uncertainty_score":0.02698028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3620262230677922,"score_gpt":0.5221333505155732,"score_spread":0.160107127447781,"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."}}