{"id":"W3133353820","doi":"10.3390/informatics8010012","title":"Visual Analytics for Electronic Health Records: A Review","year":2021,"lang":"en","type":"review","venue":"Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Visual analytics; Analytics; Computer science; Data science; Cultural analytics; Interactive visual analysis; Software analytics; Resource (disambiguation); Visualization; Health care; Semantic analytics; World Wide Web; Artificial intelligence; Software","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001239437,0.000419321,0.002207243,0.0002536457,0.0001393894,0.0003682034,0.001406539,0.0001603605,0.00002475853],"category_scores_gemma":[0.0003529759,0.0003558033,0.0006678124,0.001504012,0.00002245223,0.0005502087,0.0003788594,0.0003524445,0.0001317581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333321,"about_ca_system_score_gemma":0.003640131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002019736,"about_ca_topic_score_gemma":0.000005475738,"domain_scores_codex":[0.9964494,0.0001277171,0.002113989,0.0002526521,0.0004115772,0.0006446529],"domain_scores_gemma":[0.996811,0.0002268874,0.001492311,0.00099998,0.0002723282,0.0001975347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.075958e-8,0.00002635567,2.610351e-8,0.07675257,0.00008349926,5.862747e-7,0.0000432648,0.000001365593,7.90403e-11,0.02606608,0.07381734,0.8232089],"study_design_scores_gemma":[0.00007938175,0.00009924612,4.799758e-9,0.04301562,0.0002332342,0.00004133991,0.00001300687,0.02888686,2.076827e-8,0.00008489713,0.9272094,0.0003369224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.37145e-10,0.5735314,0.4252497,0.0001191825,0.000161795,0.0005914401,0.00005759052,0.00007384523,0.0002150502],"genre_scores_gemma":[5.729105e-9,0.9730927,0.01914755,0.005324497,0.00009252693,0.00007506471,0.0016306,0.0000291305,0.0006078723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8533921,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07350255607996942,"score_gpt":0.4328210915242381,"score_spread":0.3593185354442687,"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."}}