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Augmented Intelligence with Natural Language Processing Applied to Electronic Health Records is Useful for Identifying Patients with Non-Alcoholic Fatty Liver Disease at Risk for Disease Progression

2019-01-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Electronic health record (EHR) systems contain structured data and unstructured documentation. Clinical insights can be derived from analyzing both but optimal methods for this have not been studied extensively. We compared various approaches to analyzing EHR data for non-alcoholic fatty liver disease (NAFLD). <h4>Materials and Methods</h4> We compared analysis of structured...

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Literature Corpus work
9e91c055-45ee-5c7c-859f-4de6dbc00389
DOI
10.1101/518217
Open publication

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Augmented Intelligence with Natural Language Processing Applied to Electronic Health Records is Useful for Identifying Patients with Non-Alcoholic Fatty Liver Disease at Risk for Disease ProgressionDOI 10.1101/518217
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