Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network - Ehsani-Moghaddam, Behrouz; Queenan, John A.; MacKenzie, Jennifer; Birtwhistle, Richard V. (PloS one, 2018)
Keywords: Algorithms; Artificial intelligence; Bayes Theorem; Bayesian analysis; Canada; Classification; Classifiers; Computer and Information Sciences; Data Mining; Dependent variables; Diagnosis; Diagnosis, Computer-Assisted - methods; Electronic Health Records; Electronic medical records; Females; Genetic disorders; Health care; Humans; Knowledge discovery; Male; Males; Medical diagnosis; Medical personnel; Medical records; Medicine; Medicine and Health Sciences; Metabolic disorders; Model accuracy; Mucopolysaccharidosis; Mucopolysaccharidosis II - classification; Mucopolysaccharidosis II - diagnosis; Patients; Pattern Recognition, Automated; Physical Sciences; Physicians; Primary care; Primary Health Care; R&D; Rare diseases; Rare Diseases - classification; Rare Diseases - diagnosis; Resampling; Research & development; Research and Analysis Methods; Sentinel Surveillance; Studies; Surveillance; Training; Young Adult; Canada; Ontario Canada