{"id":"W1605886311","doi":"10.1109/bigdatacongress.2015.68","title":"H-DRIVE: A Big Health Data Analytics Platform for Evidence-Informed Decision Making","year":2015,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Big data; Analytics; Data science; Computer science; Dashboard; Business intelligence; Context (archaeology); Health care; Data analysis; Data visualization; Workbench; Visualization; Knowledge management; Data mining","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":[0.007329981,0.001123486,0.000875424,0.0035711,0.0007366251,0.004987089,0.002425903,0.001373368,0.0146637],"category_scores_gemma":[0.01886284,0.000797957,0.0009985927,0.002558858,0.000866394,0.004424274,0.006341081,0.001863771,0.003396422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008892356,"about_ca_system_score_gemma":0.002792026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788704,"about_ca_topic_score_gemma":0.002447874,"domain_scores_codex":[0.9971945,0.0009289499,0.0003318103,0.0005342911,0.0008738748,0.0001365845],"domain_scores_gemma":[0.9867677,0.008100117,0.0008834422,0.002288764,0.000902731,0.001057256],"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":[0.003002902,0.0008715605,0.0250174,0.003207082,0.001183207,0.002004818,0.003061492,0.03685066,0.01402613,0.09750467,0.3380606,0.4752095],"study_design_scores_gemma":[0.0009515663,0.0005759283,0.01064182,0.0009581515,0.0002596014,0.001225505,0.001669134,0.2822385,0.02272991,0.2418325,0.4365256,0.0003918537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02462603,0.00222997,0.711429,0.01383651,0.0006397769,0.002423639,0.06053868,0.155979,0.02829744],"genre_scores_gemma":[0.2935376,0.001692872,0.6481145,0.003546984,0.0004855521,0.001262667,0.04057177,0.004464799,0.006323294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0146637,"threshold_uncertainty_score":0.04905498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3405501074443004,"score_gpt":0.4749937868791374,"score_spread":0.134443679434837,"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."}}