Development and evaluation of a Naïve Bayesian model for coding causation of workers’ compensation claims - Bertke, S.J.; Meyers, A.R.; Wurzelbacher, S.J.; Bell, J.; Lampl, M.L.; Robins, D. (Journal of safety research, 2012)
Keywords: Accident narratives; Accidents, Occupational - statistics & numerical data; Algorithms; Bayes; Bayes Theorem; Bayesian analysis; Causality; Clinical Coding - methods; Clinical Coding - standards; Clinical Coding - statistics & numerical data; Data Mining; Humans; Injuries; Insurance claims; Models, Theoretical; Musculoskeletal diseases; Musculoskeletal Diseases - classification; Musculoskeletal Diseases - etiology; Occupational accidents; Quality Control; Risk Factors; Sample Size; Text classification; Text-mining; Workers compensation; Workers' Compensation - statistics & numerical data; Data-mining; Text-mining; Bayes; Accident narratives; Text classification