Scalable and accurate deep learning for electronic health records. Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Liu, P. J., Liu, X., Sun, M., Sundberg, P., Yee, H., Zhang, K., Duggan, G. E., Flores, G., Hardt, M., Irvine, J., Le, Q. V., Litsch, K., Marcus, J., Mossin, A., Tansuwan, J., Wang, D., Wexler, J., Wilson, J., Ludwig, D., Volchenboum, S. L., Chou, K., Pearson, M., Madabushi, S., Shah, N. H., Butte, A. J., Howell, M., Cui, C., Corrado, G., & Dean, J. CoRR, 2018.
Scalable and accurate deep learning for electronic health records [link]Paper  bibtex   
  author    = {Alvin Rajkomar and
               Eyal Oren and
               Kai Chen and
               Andrew M. Dai and
               Nissan Hajaj and
               Peter J. Liu and
               Xiaobing Liu and
               Mimi Sun and
               Patrik Sundberg and
               Hector Yee and
               Kun Zhang and
               Gavin E. Duggan and
               Gerardo Flores and
               Michaela Hardt and
               Jamie Irvine and
               Quoc V. Le and
               Kurt Litsch and
               Jake Marcus and
               Alexander Mossin and
               Justin Tansuwan and
               De Wang and
               James Wexler and
               Jimbo Wilson and
               Dana Ludwig and
               Samuel L. Volchenboum and
               Katherine Chou and
               Michael Pearson and
               Srinivasan Madabushi and
               Nigam H. Shah and
               Atul J. Butte and
               Michael Howell and
               Claire Cui and
               Greg Corrado and
               Jeff Dean},
  title     = {Scalable and accurate deep learning for electronic health records},
  journal   = {CoRR},
  volume    = {abs/1801.07860},
  year      = {2018},
  url       = {},
  eprinttype = {arXiv},
  eprint    = {1801.07860},
  timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl    = {},
  bibsource = {dblp computer science bibliography,}

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