{"id":"W4293475661","doi":"10.1136/bmj-2021-069048","title":"CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research","year":2022,"lang":"en","type":"article","venue":"BMJ","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Abbott Vascular; Zorginstituut Nederland; Vifor Pharma; Karolinska Institutet; Respicardia; Queen's University; Queen's University Belfast; Imperial College London; National Institute for Health and Care Excellence; University of Leeds; CSL Behring; National Institute for Health and Care Research; Sanofi; Abiomed; University College London; British Heart Foundation; Universitetet i Oslo; European Federation of Pharmaceutical Industries and Associations; Regeneron Pharmaceuticals; InfraRedx; Medicure; Amgen; European Society of Cardiology; Boston Scientific Corporation; AstraZeneca; University of Oxford; Cardinal Health; Edwards Lifesciences; European Commission; Daiichi Sankyo Europe; Servier; Bayer; Pfizer","keywords":"Big data; Mandate; Data science; Health care; Transparency (behavior); Health records; Computer science; Best practice; Comparative effectiveness research; Analytics; Key (lock); Political science; Computer security; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2387624,0.001677505,0.002729086,0.01514187,0.006214886,0.02012264,0.01116645,0.0223059,0.006353951],"category_scores_gemma":[0.3515419,0.002743409,0.003767334,0.01029029,0.01211819,0.0176505,0.01955221,0.01547419,0.008049414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01486962,"about_ca_system_score_gemma":0.08147296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591801,"about_ca_topic_score_gemma":0.02262187,"domain_scores_codex":[0.6839499,0.1889827,0.06330083,0.01013973,0.04675911,0.006867581],"domain_scores_gemma":[0.5161667,0.2551564,0.02528002,0.07695655,0.1082219,0.01821842],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001548707,0.0003293017,0.002827184,0.001762726,0.0001029559,0.0008234812,0.00538863,0.003915926,0.001437096,0.8010083,0.0858889,0.09636056],"study_design_scores_gemma":[0.0002045153,0.0003123596,0.002845203,0.008557298,0.0001268301,0.001348762,0.002068571,0.00917209,0.002537639,0.3649967,0.6074603,0.0003697743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003300384,0.00186412,0.8562884,0.0735683,0.001690623,0.006320013,0.002856137,0.00522132,0.04889075],"genre_scores_gemma":[0.02165402,0.001228761,0.9503921,0.0120248,0.0005369267,0.006390654,0.002871231,0.0007077901,0.004193787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7612376,"threshold_uncertainty_score":0.9387415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.289184582811228,"score_gpt":0.5459685662817354,"score_spread":0.2567839834705074,"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."}}