{"id":"W2945314865","doi":"10.1177/0840470419846134","title":"Intelligent health data analytics: A convergence of artificial intelligence and big data","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Big data; Data science; Analytics; Computer science; Health care; Data analysis; Business intelligence; Data quality; Knowledge management; Data mining; Engineering","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":[0.02325986,0.001406129,0.00273629,0.00995889,0.001593919,0.01880593,0.003351153,0.003529243,0.001597422],"category_scores_gemma":[0.03218296,0.001104238,0.001550883,0.008989386,0.01341377,0.02154735,0.009353371,0.007470509,0.0007582107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003277231,"about_ca_system_score_gemma":0.005590463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582552,"about_ca_topic_score_gemma":0.001738632,"domain_scores_codex":[0.9825956,0.007654519,0.001389677,0.001590295,0.006379076,0.0003909167],"domain_scores_gemma":[0.9384134,0.05013021,0.001706691,0.005117722,0.003235445,0.001396594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001174759,0.0002661405,0.006852858,0.003869529,0.0005672689,0.000366667,0.00354115,0.009888305,0.002548785,0.6227294,0.02286533,0.3263872],"study_design_scores_gemma":[0.00002296078,0.00005439609,0.001273442,0.001278583,0.00006176889,0.0001894033,0.001252419,0.02212029,0.0007176512,0.9008536,0.07208446,0.00009103482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01205614,0.09098548,0.714571,0.1425826,0.002051267,0.0005240514,0.0007113924,0.001207561,0.0353106],"genre_scores_gemma":[0.220357,0.0938094,0.6464397,0.02335482,0.009758886,0.0006480874,0.00117479,0.0004555905,0.004001665],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02325986,"threshold_uncertainty_score":0.1230114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4275021929463665,"score_gpt":0.4861191591299544,"score_spread":0.05861696618358792,"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."}}