1 code implementation • EMNLP (Louhi) 2020 • Andreas Grivas, Beatrice Alex, Claire Grover, Richard Tobin, William Whiteley
Our analysis finds that our rule-based system outperforms the neural models on both datasets and seems to generalise to the out-of-sample dataset.
1 code implementation • 11 May 2022 • Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang, Minhong Wang, Arlene Casey, Emma Davidson, Jiaoyan Chen, Beatrice Alex, William Whiteley, Honghan Wu
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes.
1 code implementation • 21 Mar 2022 • Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, Jiaoyan Chen, Honghan Wu
Knowledge-based methods that represent and reason the standard, explainable process of a task may need to be incorporated into deep learning-based methods for clinical coding.
no code implementations • 18 Feb 2021 • Arlene Casey, Emma Davidson, Michael Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex
Understanding recent developments in NLP application to radiology is of significance but recent reviews on this are limited.
2 code implementations • 29 Oct 2020 • Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu
LE initialisation consistently boosted most deep learning models for automated medical coding.
Ranked #1 on Multi-Label Text Classification on MIMIC-III
no code implementations • 11 Feb 2020 • William Whiteley, Vladimir Panin, Chuanyu Zhou, Jorge Cabello, Deepak Bharkhada, Jens Gregor
Direct reconstruction of positron emission tomography (PET) data using deep neural networks is a growing field of research.
no code implementations • 27 Aug 2019 • William Whiteley, Jens Gregor
Positron emission tomography (PET) scanners continue to increase sensitivity and axial coverage by adding an ever expanding array of block detectors.
no code implementations • 19 Aug 2019 • William Whiteley, Wing K. Luk, Jens Gregor
Results: DirectPET is shown capable of producing images that are quantitatively and qualitatively similar to the OSEM target images in a fraction of the time.
no code implementations • 10 Mar 2019 • Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
This work investigates multiple approaches to Named Entity Recognition (NER) for text in Electronic Health Record (EHR) data.