{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003345831,0.0001057258,0.0003134513,0.0002490939,0.00008765536,0.00006734837,0.000187863,0.00004402923,0.000005924053],"category_scores_gemma":[0.00007049131,0.00009625704,0.00007957584,0.001160724,0.00003252249,0.0004987491,0.0001457419,0.0000736235,0.000003012885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004330125,"about_ca_system_score_gemma":0.0001403694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001564522,"about_ca_topic_score_gemma":0.000007699892,"domain_scores_codex":[0.9987554,0.0000291902,0.0006170387,0.000129523,0.0002579256,0.0002109418],"domain_scores_gemma":[0.9990821,0.00006150416,0.0003726041,0.0001918512,0.000161487,0.0001304331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002963155,0.0006117793,0.002504556,0.00154994,0.004045448,0.000001227651,0.02718735,0.2373964,0.0003780178,0.4918387,0.06692119,0.1672691],"study_design_scores_gemma":[0.0003401719,0.0003241092,0.0002573134,0.00001027725,0.0001356819,0.000001967015,0.0001147248,0.9961472,0.0001624408,0.0003723614,0.00203224,0.0001015163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05361548,0.00003338869,0.9433811,0.002617171,0.00008362906,0.0001646223,0.00003439418,0.00004823798,0.00002197157],"genre_scores_gemma":[0.948558,0.000102118,0.04678613,0.004149923,0.00004054603,0.000003233581,0.0003123597,0.000007539077,0.00004013862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8965949,"threshold_uncertainty_score":0.3925248,"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."}}