Predictive Modeling Using a Nationally Representative Database to Identify Patients at Risk of Developing Microalbuminuria
Background: Predictive models allow clinicians to more accurately identify higher- and lower-risk patients and make more targeted treatment decisions, which can help improve efficiency in health systems. Microalbuminuria (MA) is a condition characterized by the presence of albumin in the urine below...
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| Language: | en_US |
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The University of Arizona.
2014
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| Online Access: | http://hdl.handle.net/10150/333040 |