{"id":"W3028946697","doi":"10.3390/informatics7020017","title":"Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records","year":2020,"lang":"en","type":"article","venue":"Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Dimensionality reduction; Computer science; Visual analytics; Cluster analysis; Dimension (graph theory); Data science; Analytics; Data mining; Reduction (mathematics); Cluster (spacecraft); Data analysis; Visualization; Machine learning","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":[0.004437157,0.0016313,0.0008228363,0.005428194,0.0009021178,0.004594186,0.001549871,0.0007194473,0.008017741],"category_scores_gemma":[0.01937589,0.0005976902,0.001723501,0.003766401,0.0009971552,0.003059211,0.003853196,0.002016013,0.001976978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037158,"about_ca_system_score_gemma":0.001842929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003937245,"about_ca_topic_score_gemma":0.004082928,"domain_scores_codex":[0.9960198,0.001402587,0.000386142,0.0006826425,0.001312031,0.0001968059],"domain_scores_gemma":[0.9903862,0.005132698,0.000710512,0.001124641,0.002378666,0.0002673288],"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":[0.0007053118,0.00027576,0.007024699,0.001984291,0.0003766419,0.0004748878,0.005503117,0.0485601,0.0223476,0.08813473,0.07795195,0.7466609],"study_design_scores_gemma":[0.000186253,0.0001668735,0.00813791,0.0005917607,0.0001108331,0.0004210169,0.002119124,0.6684819,0.02705651,0.1810412,0.1113882,0.0002984107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00941184,0.0005092366,0.9681584,0.0009686836,0.000128243,0.0003029665,0.002485849,0.01428315,0.003751648],"genre_scores_gemma":[0.09487501,0.0005818623,0.896304,0.0003021249,0.0001104976,0.0005597192,0.004369996,0.001321725,0.001575171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008017741,"threshold_uncertainty_score":0.02682203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191400362880457,"score_gpt":0.3036517722546214,"score_spread":0.2845117359665757,"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."}}