3 citations · 3 across the 3 of their papers we have counts for
4 papers
Deep Stable Representation Learning on Electronic Health Records
Yingtao Luo, Zhaocheng Liu, Qiang Liu
Deep learning models have achieved promising disease prediction performance of the Electronic Health Records (EHR) of patients. However, most models developed under the I.I.D. hypo…
An efficient representation of chronological events in medical texts
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu +3
In this work we addressed the problem of capturing sequential information contained in longitudinal electronic health records (EHRs). Clinical notes, which is a particular type of…
Population Gradients improve performance across data-sets and architectures in object classification
Yurika Sakai, Andrey Kormilitzin, Qiang Liu +1
The most successful methods such as ReLU transfer functions, batch normalization, Xavier initialization, dropout, learning rate decay, or dynamic optimizers, have become standards…
Med7: a transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu +1
The field of clinical natural language processing has been advanced significantly since the introduction of deep learning models. The self-supervised representation learning and th…