Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease. Steele, A. J, Denaxas, S. C, Shah, A. D, Hemingway, H., & Luscombe, N. M PLoS One, 13(8):e0202344, Public Library of Science San Francisco, CA USA, 2018.
bibtex   
@article{steele2018machine,
  title={Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease},
  author={Steele, Andrew J and Denaxas, Spiros C and Shah, Anoop D and Hemingway, Harry and Luscombe, Nicholas M},
  journal={PLoS One},
  volume={13},
  number={8},
  pages={e0202344},
  year={2018},
  publisher={Public Library of Science San Francisco, CA USA}
}

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