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JOURNAL ARTICLE
Kenneth H Lai, Maxim Topaz, Foster R Goss, Li Zhou
Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper describes the development of a spelling correction system for medical text. Our spell checker is based on Shannon's noisy channel model, and uses an extensive dictionary compiled from many sources. We also use named entity recognition, so that names are not wrongly corrected as misspellings...
June 2015: Journal of Biomedical Informatics
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