Automated misspelling detection and correction in clinical free-text records

Journal of Biomedical Informatics

Volumn 55, Issue , 2015, Pages 188-195

  Lai, Kenneth H ^a   Topaz, Maxim ^a,b   Goss, Foster R ^c   Zhou, Li ^a,b,d  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^d PARTNERS HEALTHCARE   (United States)

Author keywords

Electronic health record; Named entity recognition; Natural language processing; Spelling correction

Indexed keywords

RECORDS MANAGEMENT;

CLINICAL NOTES; CORRECTION ACCURACY; DETECTION PERFORMANCE; ELECTRONIC HEALTH RECORD; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; NOISY CHANNEL MODELS; SPELLING CORRECTION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ALLERGY; ARTICLE; AUTOMATION; CONTROLLED STUDY; DATA EXTRACTION; ELECTRONIC MEDICAL RECORD; FALSE POSITIVE RESULT; HUMAN; MACHINE LEARNING; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PRESCRIPTION; PRIORITY JOURNAL; SPELL CHECKER; SPELLING; SYSTEMATIC ERROR; CONTROLLED VOCABULARY; ELECTRONIC HEALTH RECORD; HEALTH CARE QUALITY; MEANINGFUL USE CRITERIA; NATURAL LANGUAGE PROCESSING; ORGANIZATION AND MANAGEMENT; PROCEDURES; STANDARDS; WORD PROCESSING;

DATA ACCURACY; ELECTRONIC HEALTH RECORDS; MACHINE LEARNING; MEANINGFUL USE; NATURAL LANGUAGE PROCESSING; QUALITY ASSURANCE, HEALTH CARE; VOCABULARY, CONTROLLED; WORD PROCESSING;

EID: 84930737034     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.04.008     Document Type: Article

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