Using recurrent neural network models for early detection of heart failure onset

@inproceedings{Choi2017UsingRN,
  title={Using recurrent neural network models for early detection of heart failure onset},
  author={Edward Choi and Andy Schuetz and Walter F. Stewart and Jimeng Sun},
  booktitle={JAMIA},
  year={2017}
}
Objective We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods that ignore temporality. Materials and Methods Data were from a health system's EHR on 3884 incident HF cases and 28 903 controls, identified as primary care patients, between May 16, 2000, and May 23, 2013. Recurrent neural network (RNN) models… CONTINUE READING
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