6 citations · 6 across the 2 of their papers we have counts for
8 papers
Clinical Prompt Learning with Frozen Language Models
Niall Taylor, Yi Zhang, Dan Joyce +2
Prompt learning is a new paradigm in the Natural Language Processing (NLP) field which has shown impressive performance on a number of natural language tasks with common benchmarki…
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…
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder
John Pougue Biyong, Bo Wang, Terry Lyons +1
Relying on large pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) for encoding and adding a simple prediction layer has led to impr…
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…
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture
Andrey Kormilitzin, Xinyu Yang, William H. Stone +5
Understanding the morphological changes of primary neuronal cells induced by chemical compounds is essential for drug discovery. Using the data from a single high-throughput imagin…