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Michael Tin Chung Poon
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2020 – today
- 2023
- [j4]Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot:
Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability. Comput. Methods Programs Biomed. 233: 107482 (2023) - 2022
- [j3]Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, Michael Tin Chung Poon, Natalie K. Fitzpatrick, Adam P. Levine, Luke T. Slater, Alex Handy, Andreas Karwath, Georgios V. Gkoutos, Claude Chelala, Anoop D. Shah, Robert Stewart, Nigel Collier, Beatrice Alex, William Whiteley, Cathie Sudlow, Angus Roberts, Richard J. B. Dobson:
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022) - 2021
- [j2]Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley:
The reporting quality of natural language processing studies: systematic review of studies of radiology reports. BMC Medical Imaging 21(1): 142 (2021) - [j1]Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex:
A systematic review of natural language processing applied to radiology reports. BMC Medical Informatics Decis. Mak. 21(1): 179 (2021) - [i2]Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex:
A Systematic Review of Natural Language Processing Applied to Radiology Reports. CoRR abs/2102.09553 (2021) - [i1]Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot:
Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction. CoRR abs/2106.09424 (2021)
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