Emma O'Dowd

According to our database, Emma O'Dowd authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evaluating XAI techniques under class imbalance using CPRD data.

Teena Rai, Jun He, Jaspreet Kaur, Yuan Shen, Mufti Mahmud, David J. Brown, Emma O'Dowd, David R. Baldwin

Frontiers Artif. Intell., 2025

State-of-the-Art Machine Learning Models for Detecting and Mitigating Disparities in Healthcare.

Yuan Shen, Mufti Mahmud, Teena Rai, David J. Brown, Jun He, Muhammad Arifur Rahman, David R. Baldwin, Jaspreet Kaur, Emma O'Dowd, Richard B. Hubbard

Proceedings of the HCI International 2025 - Late Breaking Papers, 2025

2024

Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data.

Teena Rai, Yuan Shen, Jun He, Mufti Mahmud, David J. Brown, Jaspreet Kaur, Emma O'Dowd, David R. Baldwin, Richard B. Hubbard

Proceedings of the International Joint Conference on Neural Networks, 2024

Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data.

Yuan Shen, Mufti Mahmud, Teena Rai, Jun He, David J. Brown, Muhammad Arifur Rahman, Jaspreet Kaur, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data.

Teena Rai, Yuan Shen, Jaspreet Kaur, Jun He, Mufti Mahmud, David J. Brown, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

Proceedings of the Artificial Intelligence in Medicine, 2023

2021

Selecting Lung Cancer Patients from UK Primary Care Data: A Longitudinal Study of Feature Trends.

Abeer Alzubaidi, Jaspreet Kaur, Mufti Mahmud, David J. Brown, Jun He, Graham R. Ball, David R. Baldwin, Emma O'Dowd, Richard B. Hubbard

AII, 2021