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Assessing Opioid Use Patient Representations and Subtypes
Sarah Mullin, Peter Elkin
823 - 827
10.3233/SHTI200276
Research Article
Studies in Health Technology and Informatics
Volume 270: Digital Personalized Health and Medicine
Abstract

Precision medicine, diagnosis, treatment, and prevention that accounts for natural human variability, can be beneficial for complex populations. The opioid user population is heterogeneous, characterized by many disorders, medications, and procedures. Using Electronic Health Record data, we create a patient representation, finding similarities between structured data, and then cluster the patients into patient subtypes. These subtypes can then be used for subsequent analysis.

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Creative Commons License