3 papers
cs.CL2020
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…
cs.LG2020
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…
cs.CL2020
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…