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

PLoS ONE

Volumn 13, Issue 12, 2018, Pages

  Ehsani Moghaddam, Behrouz ^a   Queenan, John A ^a   MacKenzie, Jennifer ^b   Birtwhistle, Richard V ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CANADA; CLASSIFICATION; CLINICAL FEATURE; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTRONIC MEDICAL RECORD; EXTRACTION; FEMALE; FORECASTING; HUMAN; HUNTER SYNDROME; MAJOR CLINICAL STUDY; MALE; MARKOV BLANKET BAYESIAN ALGORITHM; NAIVE BAYES CLASSIFICATION ALGORITHM; PRIMARY MEDICAL CARE; RARE DISEASE; RECURSIVE BACKWARD FEATURE ELIMINATION ALGORITHM; VALIDATION PROCESS; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; DATA MINING; ELECTRONIC HEALTH RECORD; PRIMARY HEALTH CARE; PROCEDURES; SENTINEL SURVEILLANCE; YOUNG ADULT;

ALGORITHMS; BAYES THEOREM; CANADA; DATA MINING; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; HUMANS; MALE; MUCOPOLYSACCHARIDOSIS II; PATTERN RECOGNITION, AUTOMATED; PRIMARY HEALTH CARE; RARE DISEASES; SENTINEL SURVEILLANCE; YOUNG ADULT;

EID: 85058789513     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0209018     Document Type: Article

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