Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records

BACKGROUND: Application of novel machine learning approaches to electronic health record (EHR) data could provide valuable insights into disease processes. We utilized this approach to build predictive models for progression to prediabetes and type 2 diabetes (T2D). METHODS: Using a novel analytical...

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Veröffentlicht in:J Diabetes Sci Technol
Hauptverfasser: Anderson, Jeffrey P., Parikh, Jignesh R., Shenfeld, Daniel K., Ivanov, Vladimir, Marks, Casey, Church, Bruce W., Laramie, Jason M., Mardekian, Jack, Piper, Beth Anne, Willke, Richard J., Rublee, Dale A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: SAGE Publications 2015
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Special Section: Big Data and Diabetes
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4738229/
https://ncbi.nlm.nih.gov/pubmed/26685993
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296815620200
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