AIMC Topic: Boston

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Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...