{"id":"W4321459883","doi":"10.3390/jcm12041695","title":"Prediction of Blood Risk Score in Diabetes Using Deep Neural Networks","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Medicine","topic":"Diabetes Management and Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Michael Smith Health Research BC; BC Children's Hospital; Children's Hospital Foundation","keywords":"Medicine; Deep learning; Artificial intelligence; Mean squared error; Artificial neural network; Convolutional neural network; Test set; Data set; Recurrent neural network; Machine learning; Set (abstract data type); Computer science; Statistics; Mathematics","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":[0.0006510557,0.0007371613,0.0004812725,0.0006927773,0.0001372847,0.0005981988,0.000501734,0.0005190443,0.0006951831],"category_scores_gemma":[0.001944453,0.000263495,0.000464254,0.0005512998,0.0001100345,0.0003610009,0.0005193923,0.00112045,0.0002328602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006125062,"about_ca_system_score_gemma":0.0004960842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01815401,"about_ca_topic_score_gemma":0.01624307,"domain_scores_codex":[0.9998127,0.0000367209,0.00001796813,0.00005539833,0.00003798843,0.00003927363],"domain_scores_gemma":[0.9995067,0.0002392669,0.00008277717,0.0000302921,0.0001012696,0.00003968489],"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":[0.000870323,0.0005823431,0.09150326,0.000100343,0.0002129226,0.0003744974,0.000059781,0.6973709,0.004689237,0.0007863684,0.003519284,0.1999308],"study_design_scores_gemma":[0.000006858502,0.00002502413,0.004166662,0.000006987626,0.000009981127,0.00001486463,0.000005661684,0.9946337,0.0006685395,0.0003649726,0.00009093541,0.000005789074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8157675,0.00226005,0.1760902,0.0005990083,0.0001666252,0.00005370912,0.001789134,0.001236522,0.002037459],"genre_scores_gemma":[0.9783536,0.0004691709,0.01855255,0.00008077734,0.00003123974,0.00003328159,0.001473413,0.00001625295,0.0009896825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01815401,"threshold_uncertainty_score":0.03609663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1574680581809255,"score_gpt":0.4268375399389912,"score_spread":0.2693694817580656,"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."}}