A natural language-based tool for diagnosis of serrated polyposis syndrome
Serrated polyposis syndrome (SPS) is common, yet under-recognized and is associated with an increased risk of colorectal cancer (CRC). The diagnosis is based on the World Health Organization (WHO) criteria and is inclusive of the cumulative number of lifetime serrated polyps. We used natural language processing (NLP) to extract colonoscopy and pathology data from the electronic medical record (EMR). The aim of this study was to assess feasibility of using an NLP-based SPS tool to identify patients with SPS.
Source: Gastrointestinal Endoscopy - Category: Gastroenterology Authors: Gopanandan Parthasarathy, Rocio Lopez, John McMichael, Carol A. Burke Source Type: research
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