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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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發表在:J Diabetes Sci Technol
Main Authors: 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.
格式: Artigo
語言:Inglês
出版: SAGE Publications 2015
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在線閱讀: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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