Alvin Rajkomar, Eyal Oren, Kai Chen 0010, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le 0001, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean. Scalable and accurate deep learning with electronic health records. npj Digit. Medicine, 1, 2018. [doi]
@article{RajkomarO0DHHLL18,
title = {Scalable and accurate deep learning with electronic health records},
author = {Alvin Rajkomar and Eyal Oren and Kai Chen 0010 and Andrew M. Dai and Nissan Hajaj and Michaela Hardt and Peter J. Liu and Xiaobing Liu and Jake Marcus and Mimi Sun and Patrik Sundberg and Hector Yee and Kun Zhang and Yi Zhang and Gerardo Flores and Gavin E. Duggan and Jamie Irvine and Quoc Le 0001 and Kurt Litsch 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 Gregory S. Corrado and Jeffrey Dean},
year = {2018},
doi = {10.1038/s41746-018-0029-1},
url = {https://doi.org/10.1038/s41746-018-0029-1},
researchr = {https://researchr.org/publication/RajkomarO0DHHLL18},
cites = {0},
citedby = {0},
journal = {npj Digit. Medicine},
volume = {1},
}