Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches.

@article{Wu2010PredictionMU,
  title={Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches.},
  author={Jionglin Wu and Jason Roy and Walter F. Stewart},
  journal={Medical care},
  year={2010},
  volume={48 6 Suppl},
  pages={S106-13}
}
BACKGROUND Electronic health record (EHR) databases contain vast amounts of information about patients. Machine learning techniques such as Boosting and support vector machine (SVM) can potentially identify patients at high risk for serious conditions, such as heart disease, from EHR data. However, these techniques have not yet been widely tested. OBJECTIVE To model detection of heart failure more than 6 months before the actual date of clinical diagnosis using machine learning techniques… CONTINUE READING
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