BEHRT: Transformer for Electronic Health Records

22 July 2019

Papers citing "BEHRT: Transformer for Electronic Health Records"

4 / 154 papers shown

Title
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records Yikuan Li Shishir Rao A. Hassaine R. Ramakrishnan Yajie Zhu D. Canoy G. Salimi-Khorshidi Thomas Lukasiewicz K. Rahimi BDL UQCV 16 36 0 23 Mar 2020
Variationally Regularized Graph-based Representation Learning for Electronic Health Records Weicheng Zhu N. Razavian BDL CML 8 11 0 08 Dec 2019
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data A. Kabeshova Yiyang Yu Bertrand Lukacs Emmanuel Bacry Stéphane Gaïffas VLM MedIm 22 2 0 13 Nov 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer Edward Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 24 238 0 11 Jun 2019