Scalable and accurate deep learning for electronic health records

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. D., Cui, C., Corrado, G., & Dean, J. CoRR, 2018.

Paper bibtex

@article{DBLP:journals/corr/abs-1801-07860,
  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 D. 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          = {http://arxiv.org/abs/1801.07860},
  eprinttype    = {arXiv},
  eprint       = {1801.07860},
  timestamp    = {Tue, 08 Oct 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1801-07860.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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