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David Clifton

David Clifton

Position:

Co-Director

COCHE Publications by Author:

Addressing label noise for electronic health records: insights from computer vision for tabular data.

Published:
1 June 2024
Jenny Yang*, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash & David A. Clifton

An improved deep regression model with state space reconstruction for continuous blood pressure estimation.

Published:
1 May 2024
Liangyi Lyu, Lei Lu, Hanjie Chen*, David A. Clifton, Yuanting Zhang*, Tapabrata Chakraborti*

Atrial fibrillation after cardiac surgery: identifying candidate predictors through a Delphi process.

Published:
1 September 2024
Jonathan Bedford*, Kara G Fields, Gary Stephen Collins, Gregory Y H Lip, David A Clifton, Benjamin O’Brien, Jochen D Muehlschlegel, Peter J Watkinson, Oliver C Redfern

CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks.

Published:
1 August 2024
Soheila Molaei*, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu & David A. Clifton

Continuous patient state attention model for addressing irregularity in electronic health records.

Published:
1 May 2024
Vinod Kumar Chauhan*, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei & David A. Clifton

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification.

Published:
1 February 2024
Lei Lu*, Tingting Zhu*, Antonio H Ribeiro, Lei Clifton, Erying Zhao, Jiandong Zhou, Antonio Luiz P Ribeiro, Yuan-Ting Zhang, David A Clifton

DuKA: A Dual-Keyless-Attention Model for Multi-modality EHR Data Fusion and Organ Failure Prediction.

Published:
1 December 2023
Zhangdaihong Liu*, Xuan Wu, Yang Yang, David A. Clifton

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks.

Published:
1 October 2024
Niall Taylor*, Upamanyu Ghose, Omid Rohanian, Mohammadmahdi Nouriborji, Andrey Kormilitzin, David A. Clifton, Alejo Nevado-Holgado

Exploring the effectiveness of instruction tuning in biomedical language processing.

Published:
1 November 2024
Omid Rohanian*, Mohammadmahdi Nouriborji, Samaneh Kouchaki, Farhad Nooralahzadeh, Lei Clifton, David A. Clifton

Generalizability assessment of AI models across hospitals in a low-middle and high income country.

Published:
1 September 2024
Jenny Yang*, Nguyen Thanh Dung, Pham Ngoc Thach, Nguyen Thanh Phong, Vu Dinh Phu, Khiem Dong Phu, Lam Minh Yen, Doan Bui Xuan Thy, Andrew A. S. Soltan, Louise Thwaites & David A. Clifton

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.

Published:
1 October 2024
Anshul Thakur*, Soheila Molaei, Pafue Christy Nganjimi, Andrew Soltan, Patrick Schwab, Kim Branson, David A Clifton

Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring.

Published:
1 October 2024
Shreyank N Gowda and David A. Clifton

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Email: general@hkcoche.org

Tel: (852) 3525 1175

Address:
COCHE Office: Rm 1115-1119,  Building 19W, Hong Kong Science Park

Web Laboratory: Rm 1303, Building 17W, Hong Kong Science Park

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