{"id":"W2513511560","doi":"10.1097/md.0000000000004554","title":"Defining and validating comorbidities and procedures in ICD-10 health data in ST-elevation myocardial infarction patients","year":2016,"lang":"en","type":"article","venue":"Medicine","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Boehringer Ingelheim (Canada); Alberta Health Services","funders":"Alberta Health Services","keywords":"Medicine; Interquartile range; Diagnosis code; Ambulatory; Percutaneous coronary intervention; Myocardial infarction; Emergency medicine; Cohen's kappa; Cohort; ICD-10; Internal medicine; Medical emergency; Population; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04375081,0.0006197119,0.0009228011,0.003795922,0.0006731674,0.002261589,0.001420288,0.000901324,0.0004094601],"category_scores_gemma":[0.1153775,0.0003769975,0.0008265762,0.004196085,0.0007292586,0.001249694,0.002066788,0.0007329488,0.0002259496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557866,"about_ca_system_score_gemma":0.003887317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464961,"about_ca_topic_score_gemma":0.02298677,"domain_scores_codex":[0.9575985,0.02281079,0.007522464,0.003317228,0.007343555,0.001407457],"domain_scores_gemma":[0.8965433,0.05066139,0.02424691,0.01006494,0.017209,0.0012744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353581,0.0001212052,0.9892284,0.00005369956,0.0001017138,0.0000254651,0.0002091777,0.001602916,0.000205687,0.0002250463,0.0003398104,0.00775139],"study_design_scores_gemma":[0.00004990094,0.0002849545,0.9723786,0.0001263731,0.0001003091,0.0001836696,0.0004434498,0.02348469,0.001246964,0.0005445788,0.00112993,0.00002654464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861739,0.0002526857,0.008498969,0.0001227399,0.00002332268,0.0006223345,0.003138781,0.00006017801,0.001107189],"genre_scores_gemma":[0.9689512,0.0001307361,0.02289437,0.0001263415,0.00002979564,0.0004432265,0.007308337,0.0000127796,0.0001032774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04375081,"threshold_uncertainty_score":0.2313792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1996099574273429,"score_gpt":0.4605890014051269,"score_spread":0.2609790439777839,"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."}}