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Activity Number: 216 - Promises and Pitfalls of Making Decisions with Real World Data
Type: Invited
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #300331
Title: Integrative Analysis of Multivariate Temporal Biomarkers in Electronic Health Records
Author(s): Donglin Zeng*
Companies: UNC Chapel Hill
Keywords: Electronic health records; Type 2 Diabetes; Biomarker; Integrative analysis; Latent process

In electronic health records, many biomarkers of different types are measured irregularly for each subject. It is important but challenging to integrate these temporal biomarkers for disease prognosis and personalized treatment. In this work, we develop a unified framework to simultaneously model different types of temporal processes (e.g., rates of adverse events, continuous laboratory tests, binary incidence of comorbidities) and their measurement intensity through multi-level, generalized exponential family distributions with latent processes. We characterize the temporal network-dependencies among these processes and account for potentially informative patterns in healthcare practices such as laboratory test times. Using these methods, we are able to extract latent and dynamic dependency structures from these biomarkers so as to quantify between-subject similarity. Finally, we demonstrate our methods through simulation studies and application to EHR data for type 2 diabetic patients.

Authors who are presenting talks have a * after their name.

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