Leveraging structured and unstructured electronic health record data to detect reasons for suboptimal statin therapy use in patients with atherosclerotic cardiovascular disease
Objective: To determine whether natural language processing (NLP) of unstructured medical text can improve identification of ASCVD patients not using high-intensity statin therapy (HIST) due to statin-associated side effects (SASEs) and other reasons. Methods: Reviewers annotated reasons for not pre...
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Main Authors: | , , , , , , , |
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Format: | Book |
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Elsevier,
2022-03-01T00:00:00Z.
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Internet
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A1234.567 |
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Copy 1 | Available |