{"id":"W7132986242","doi":"","title":"Spatio-temporal and class-imbalanced data analytics in healthcare","year":2018,"lang":"","type":"dissertation","venue":"TSpace","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overfitting; Analytics; Anomaly detection; Class (philosophy); Quality assurance; Supervised learning; Sample (material); Data analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008887855,0.0009924311,0.001329323,0.002391244,0.0008435132,0.002586585,0.001665461,0.00173438,0.001222034],"category_scores_gemma":[0.02520198,0.0005555538,0.001292674,0.004197942,0.002056233,0.003625659,0.002036145,0.003259684,0.0005021861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300104,"about_ca_system_score_gemma":0.001431894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029679,"about_ca_topic_score_gemma":0.002946236,"domain_scores_codex":[0.9949532,0.001811528,0.0004025828,0.001236934,0.00131014,0.0002855572],"domain_scores_gemma":[0.9851235,0.009934417,0.001407185,0.001665346,0.001455442,0.0004140601],"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":[0.000439126,0.00045255,0.0301425,0.0007051746,0.0003011851,0.0003290242,0.001034595,0.3603762,0.004185939,0.0585294,0.02103853,0.5224658],"study_design_scores_gemma":[0.00002268742,0.0000883963,0.009685491,0.00009820485,0.00003798195,0.000129087,0.0003218441,0.8135098,0.002755595,0.1633505,0.009952203,0.00004820427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05411784,0.009864507,0.9164394,0.01209029,0.0008920886,0.0002075329,0.001701777,0.0008915031,0.003795057],"genre_scores_gemma":[0.7283619,0.006063144,0.2563078,0.001294177,0.001850124,0.0003257688,0.002638427,0.000191391,0.002967314],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008887855,"threshold_uncertainty_score":0.04700404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08361173669759331,"score_gpt":0.3928212918490413,"score_spread":0.309209555151448,"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."}}