David Clifton
Position:
Co-Director
COCHE Publications by Author:
Temporal dynamics unleashed: Elevating variational graph attention. Knowledge-Based Systems,
Published:
1 June 2024
Soheila Molaei*, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare*, Tingting Zhu, Shirui Pan, David A. Clifton
Unleashing the power of federated learning in fragmented digital healthcare systems: A visionary perspective.
Published:
1 December 2023
Marzia Hoque Tania, and David A. Clifton.
A medical multimodal large language model for future pandemics.
Published:
1 December 2023
Fenglin Liu*, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei Clifton, and David A. Clifton*
Lightweight transformers for clinical natural language processing.
Published:
1 January 2024
Omid Rohanian*, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Farhad Nooralahzadeh, ISARIC Clinical Characterisation Group, Lei Clifton, Laura Merson, and David A. Clifton
Intelligent electrocardiogram acquisition via ubiquitous photoplethysmography monitoring.
Published:
1 March 2024
Zhangdaihong Liu*, Tingting Zhu, Lei Lu, Yuan-ting Zhang, and David A. Clifton.
Tetanus Severity Classification in Low-Middle Income Countries through ECG Wearable Sensors and a 1D-Vision Transformer.
Published:
1 January 2024
Ping Lu*, Zihao Wang, Hai Duong Ha Thi, Ho Bich Hai, VITAL Consortium, Louise Thwaites, and David A. Clifton.
Data encoding for healthcare data democratization and information leakage prevention.
Published:
1 February 2024
Anshul Thakur*, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang*, and David A. Clifton.
Zeronlg: Aligning and autoencoding domains for zero-shot multimodal and multilingual natural language generation.
Published:
1 July 2024
Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang*, and David A. Clifton*.
AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: The RAVEN cohort study.
Published:
1 February 2024
Wilhelmine Meeraus, Mark Joy, Mario Ouwens, Kathryn S. Taylor, Sudhir Venkatesan, John Dennis, Trung N. Tran, Ashkan Dashtban, Xuejuan Fan, Robert Williams, Tom Morris, Laura Carty, Dipender Kar, Uyen Hoang, Maria Feher, Anthony Forbes, Geraint Jamie, William Hinton, Katarzyna Sanecka, Rebecca Byford, Sandeep N. Anand, F. D. Richard Hobbs, David A. Clifton, Andrew J. Pollard, Simon Taylor, and Simon de Lusignan*.
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
Published:
1 April 2024
Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, and Aiden Doherty*.
Mitigating machine learning bias between high income and low–middle income countries for enhanced model fairness and generalizability.
Published:
1 June 2024
Jenny Yang*, Lei Clifton, Nguyen Thanh Dung, Nguyen Thanh Phong, Lam Minh Yen, Doan Bui Xuan Thy, Andrew AS Soltan, Louise Thwaites, and David A. Clifton.
Predicting individual patient and hospital-level discharge using machine learning.