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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Detalhes bibliográficos
Publicado no: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.
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2015
Assuntos:
Special Section: Big Data and Diabetes
Acesso em linha: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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