Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, pp. 872-880, 2015.

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Abstract:

Background As adoption of electronic health records continues to increase, there is an opportunity to incorporate clinical documentation as well as laboratory values and demographics into risk prediction modeling. Objective The authors develop a risk prediction model for chronic kidney disease (CKD) progression from stage III to stage IV ...More

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