Dr Hui Yang

Dr Hui Yang

Department of Cancer and Genomic Sciences
Research Fellow

Contact details

Address
Department of Cancer and Genomic Sciences
Birmingham
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Hui Yang is a Research Fellow in the Department of Cancer and Genomic Sciences. Her research work includes undertaking quantitative and qualitative analyses of digital health information using AI & Machine Learning, Statistical Modelling, Natural Language Processing (NLP) and Text Mining techniques to identify factor affecting health and well-being among particular patient groups and the public.

Qualifications

  • PhD in Computer Science, University of Wollongong, Australia 
  • MSc in Computer Science, University of Wollongong, Australia

Publications

Recent publications

Article

Turner, J, Knowles, E, Simpson, R, Sampson, F, Dixon, S, Long, J, Bell-Gorrod, H, Jacques, R, Coster, J, Yang, H, Nicholl, J, Bath, P, Fall, D & Stone, T 2021, 'Impact of NHS 111 Online on the NHS 111 telephone service and urgent care system: a mixed-methods study', Health Services and Delivery Research, vol. 9, no. 21. https://doi.org/10.3310/hsdr09210

Yang, H & Bath, PA 2020, 'Predicting loneliness in older age using two measures of loneliness', International Journal of Computers and Applications, vol. 42, no. 6, pp. 602-615. https://doi.org/10.1080/1206212X.2018.1562408

Yang, H & Bath, PA 2020, 'The Use of Data Mining Methods for the Prediction of Dementia: Evidence From the English Longitudinal Study of Aging', IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 2, pp. 345-353. https://doi.org/10.1109/JBHI.2019.2921418

Yang, H & Bath, PA 2018, 'Predictors of loneliness among older men and women in england', Journal of Epidemiology and Community Health, vol. 72, no. Suppl. 3, pp. A60. https://doi.org/10.1136/jech-2018-ssmabstracts.125

Yang, H & Garibaldi, JM 2015, 'A hybrid model for automatic identification of risk factors for heart disease', Journal of Biomedical Informatics, vol. 58, pp. S171-S182. https://doi.org/10.1016/j.jbi.2015.09.006

Yang, H & Garibaldi, JM 2015, 'Automatic detection of protected health information from clinic narratives', Journal of Biomedical Informatics, vol. 58, pp. S30-S38. https://doi.org/10.1016/j.jbi.2015.06.015

Yang, H, Willis, A, Roeck, AD & Nuseibeh, B 2012, 'A Hybrid Model for Automatic Emotion Recognition in Suicide Notes', Biomedical Informatics Insights, vol. 5, no. Suppl. 1, pp. 17-30. https://doi.org/10.4137/bii.s8948

Yang, H, Roeck, AD, Gervasi, V, Willis, A & Nuseibeh, B 2011, 'Analysing anaphoric ambiguity in natural language requirements', Requirements Engineering, vol. 6, no. 3, pp. 163-189. https://doi.org/10.1007/s00766-011-0119-y

Comment/debate

Turner, J, Knowles, E, Simpson, R, Sampson, F, Dixon, S, Long, J, Bell-Gorrod, H, Jacques, R, Coster, J, Yang, H, Nicholl, J, Bath, P, Fall, D & Stone, T 2022, 'Corrigendum: Impact of NHS 111 Online on the NHS 111 telephone service and urgent care system: a mixed-methods study', Health Services and Delivery Research, vol. 9, no. 21. https://doi.org/10.3310/hsdr09210-c202203

Conference contribution

Yang, H & Bath, PA 2020, A Health Decision Support Framework for the Prediction of Cognitive Ability in Older People. in Proceedings of Fifth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol. 1184, Springer, pp. 395–405, Fifth International Congress on Information and Communication Technology, London, United Kingdom, 20/02/20. https://doi.org/10.1007/978-981-15-5859-7_39

Yang, H & Bath, PA 2019, Automatic Prediction of Depression in Older Age. in The third International Conference on Medical and Health Informatics 2019 - ICMHI 2019. pp. 36-44. https://doi.org/10.1145/3340037.3340042

Yang, H & Bath, PA 2018, Prediction of Loneliness in Older People. in Proceedings of the 2nd International Conference on Medical and Health Informatics. pp. 165-172. https://doi.org/10.1145/3239438.3239443

Willis, A, Yang, H & Roeck, AD 2012, A generalised hybrid architecture for NLP. in the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data (HYBRID’12). pp. 97–105.

Yang, H, Roeck, AD, Gervasi, V, Willis, A & Nuseibeh, B 2012, Speculative requirements: Automatic detection of uncertainty in natural language requirements. in The 20th IEEE International Requirements Engineering Conference (RE). pp. 10-20. https://doi.org/10.1109/re.2012.6345795

Yang, H, Roeck, AD, Willis, A & Nuseibeh, B 2010, A Methodology for Automatic Identification of Nocuous Ambiguity. in The 23th International Conference on Computational Linguistics (Coling'10). pp. 1218-1226.

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