Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records
Abstract
Objectives To develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Classification of Diseases (ICD) codes. Methods An enriched cohort of 7853 eligible patients was created from electronic health records of two large hospitals using automated searches (⩾1 ICD codes...
Paper Details
Title
Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records
Published Date
Sep 19, 2019
Journal
Volume
59
Issue
5
Pages
1059 - 1065
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