Natural Language Processing to Quantify Microbial Keratitis Measurements
Nenita Maganti, Huan Tan, Leslie M Niziol, Sejal Amin, Andrew Hou, Karandeep Singh, Dena Ballouz, Maria A Woodward, Nenita Maganti, Huan Tan, Leslie M Niziol, Sejal Amin, Andrew Hou, Karandeep Singh, Dena Ballouz, Maria A Woodward
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.
Conflict of interest statement
Conflict of interest: The authors have no proprietary or commercial interest in any of the materials discussed in this article.
Source: PubMed