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Modelling EHR timeseries by restricting feature interaction

Nov 14, 2019
Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Improved Patient Classification with Language Model Pretraining Over Clinical Notes

Oct 02, 2019
Jonas Kemp, Alvin Rajkomar, Andrew M. Dai

* Accepted at NeurIPS ML4H 2019, extended abstract track 

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Explaining an increase in predicted risk for clinical alerts

Jul 10, 2019
Michaela Hardt, Alvin Rajkomar, Gerardo Flores, Andrew Dai, Michael Howell, Greg Corrado, Claire Cui, Moritz Hardt


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Scalable and accurate deep learning for electronic health records

May 11, 2018
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, 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 Howell, Claire Cui, Greg Corrado, Jeff Dean

* npj Digital Medicine 1:18 (2018) 
* Published version from https://www.nature.com/articles/s41746-018-0029-1 

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