Wenhua is developing approaches to overcome one of the major criticisms of deep neural networks for predictive modelling - poor out-of-distribution performance. His current work applies focused regularisation such that resulting models benefit from the flexibility of neural network models in the training data domain, but are similar to robust linear methods in areas with sparse training data.
Ya-Ting is examining the relationship between long-term prescribing patterns and clinical outcomes in the UK. By using the large CPRD dataset, these results should be robust and generalisable for the UK population.
Kuan is investigating the use of Patient Reported Outcomes in adults with non-small cell lung cancer. He is currently conducting a scoping review to examine their prognostic value (for example, in predicting clinical outcomes)
| Who? | Year | PhD | Where are they now? |
|---|---|---|---|
| Asma Abahussin | 2021 | A health informatics approach for recording pain and supporting effective pain management in cancer patients | Assistant Professor of Health Informatics, King Saud University. |
| Valeria Fillipou | 2021 | An automated algorithmic approach for activity recognition and step detection in the presence of functional compromise | Post-doctoral fellow (data science), The Cyprus Institute. |
| Khine Nwe (MSc) | 2019 | Correlation between functional classification and quantity of peer-reviewed evidence of mobile health applications | Z-waka founder (https://z-waka.com/), Forbes 30u30,2022 |
| Stacey Hatton (MSc) | 2018 | Usability of the SEND early warning score system | Chief Nursing Information Officer, Barnsley Hospital |