Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations

Summary: Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observations for downstream machine learning. Using clinic...

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Bibliographic Details
Main Authors: Hossein Estiri, Zachary H. Strasser, Jeffery G. Klann, Thomas H. McCoy, Jr., Kavishwar B. Wagholikar, Sebastien Vasey, Victor M. Castro, MaryKate E. Murphy, Shawn N. Murphy
Format: Article
Language:English
Published: Elsevier 2020-07-01
Series:Patterns
Subjects:
electronic health records
temporal representations
sequencing
data representation
phenotyping
diagnosis prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920300623

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http://www.sciencedirect.com/science/article/pii/S2666389920300623

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