Ms Jinge Wu
- Research Associate (School of Health & Wellbeing)
email:
Jinge.Wu@glasgow.ac.uk
Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB
The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
email:
Jinge.Wu@glasgow.ac.uk
Clarice Pears Building, 90 Byres Road, Glasgow, G12 8TB
Wu, J., Kim, Y. and Wu, H. (2024) Hallucination benchmark in medical visual question answering. arXiv, (doi: 10.48550/arXiv.2401.05827)
Guellil, I. et al. (2023) Natural language processing for detecting adverse drug events: a systematic review protocol. [Protocols]
Thygesen, J. H. et al. (2023) A nationwide study of 331 rare diseases among 58 million individuals: prevalence, demographics, and COVID-19 outcomes. medRxiv, (doi: 10.1101/2023.10.12.23296948)
Guellil, I., Wu, J., Wu, H. , Sun, T. and Alex, B. (2022) Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for Handling Imbalanced Healthcare Corpora Related to Adverse Drug Events, Change in Medication and Self-reporting Vaccination. In: Proceedings of the 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea, 12-17 Oct 2022, pp. 148-152.
Wu, J., Kim, Y. and Wu, H. (2024) Hallucination benchmark in medical visual question answering. arXiv, (doi: 10.48550/arXiv.2401.05827)
Thygesen, J. H. et al. (2023) A nationwide study of 331 rare diseases among 58 million individuals: prevalence, demographics, and COVID-19 outcomes. medRxiv, (doi: 10.1101/2023.10.12.23296948)
Guellil, I., Wu, J., Wu, H. , Sun, T. and Alex, B. (2022) Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for Handling Imbalanced Healthcare Corpora Related to Adverse Drug Events, Change in Medication and Self-reporting Vaccination. In: Proceedings of the 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea, 12-17 Oct 2022, pp. 148-152.
Guellil, I. et al. (2023) Natural language processing for detecting adverse drug events: a systematic review protocol. [Protocols]