Michael Tin Chung Poon

According to our database, Michael Tin Chung Poon authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.

Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot

Comput. Methods Programs Biomed., May, 2023

2022

A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.

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

npj Digit. Medicine, 2022

2021

A systematic review of natural language processing applied to radiology reports.

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

BMC Medical Informatics Decis. Mak., 2021

Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction.

Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot

CoRR, 2021

The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

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

BMC Medical Imaging, 2021