Natural language processing to ascertain two key variables from operative reports in ophthalmology
Type:
Article
The following study performed natural language processing (NLP) of 743,838 operative notes recorded for 315,246 surgeries to ascertain two variables needed to study the comparative effectiveness of antibiotic prophylaxis in cataract surgery (intracameral antibiotic injection and posterior capsular rupture). The NLP tools identified approximately 60,000 intracameral antibiotic injections and 3,500 cases of PCR. This study proved that NLP was a valid and feasible method for obtaining critical variables needed for a research study of surgical safety.
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