Turing Project on Large-Scale and Robust Text Mining of Electronic Healthcare Records
We aim to compare machine and deep learning algorithms to rule-based methods for mining Scottish brain imaging reports.
Beatrice Alex, Arlene Casey, Andreas Grivas, Claire Grover, Richard Tobin, Daniel Duma
The project is funded by the Alan Turing Institute (EPSRC grant EP/N510129/1)
Alex B, Grover C, Tobin R, Sudlow C, Mair G, Whiteley W. Text mining brain imaging reports. Journal of biomedical semantics. 2019 Nov 1;10(1):23. https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-019-0211-7, doi: 10.1186/s13326-019-0211-7
Gorinski PJ, Wu H, Grover C, Tobin R, Talbot C, Whalley H, Sudlow C, Whiteley W, Alex B. Named entity recognition for electronic health records: a comparison of rule-based and machine learning approaches, presented at HealTAC 2019 Conference, 24-25th of April 2019. arXiv preprint arXiv:1903.03985, https://arxiv.org/abs/1903.03985