Abstract
A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements from the electronic health record (EHR) was 75-96% sensitive and 91%-96% specific. NLP accurately extracts data from the corneal exam free-text EHR field.
Publication types
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Research Support, N.I.H., Extramural
MeSH terms
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Corneal Ulcer / classification
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Corneal Ulcer / diagnosis*
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Corneal Ulcer / microbiology
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Electronic Health Records
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Eye Infections, Bacterial / classification
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Eye Infections, Bacterial / diagnosis*
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Eye Infections, Bacterial / microbiology
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Humans
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Natural Language Processing*
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Reproducibility of Results
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Sensitivity and Specificity