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Evaluating automated entity extraction with respect to drug and non-drug treatment strategies.

08:00 EDT 12th April 2019 | BioPortfolio

Summary of "Evaluating automated entity extraction with respect to drug and non-drug treatment strategies."

Treatment used in a randomized clinical trial is a critical data element both for physicians at the point of care and reviewers who are evaluating different interventions. Much of existing work on treatment extraction from the biomedical literature has focused on the extraction of pharmacological interventions. However, non-pharmacological interventions (e.g., exercise, diet, etc.) that are frequently used to address chronic conditions are less well studied. The goal of this study is to compare knowledge-based and machine learning strategies for the extraction of both drug and non-drug treatments.

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This article was published in the following journal.

Name: Journal of biomedical informatics
ISSN: 1532-0480
Pages: 103177

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