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Adversarial De-confounding in Individualised Treatment Effects Estimation


Oct 19, 2022
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David Clifton

* (under review) 

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A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources


Mar 14, 2022
Ghadeer Ghosheh, Jin Li, Tingting Zhu


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Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications


Dec 22, 2021
Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu

* Main article (22 pages, 7 figures); Appendix (15 pages, 8 figures) 

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Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning


Jul 04, 2021
Rasheed el-Bouri, Tingting Zhu, David A. Clifton

* 11 pages, 8 figures 

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DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time


Mar 31, 2021
Girmaw Abebe Tadesse, Hamza Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu

* 10 pages 

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Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals


Mar 19, 2021
Dani Kiyasseh, Tingting Zhu, David Clifton


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DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes


Nov 28, 2020
Dani Kiyasseh, Tingting Zhu, David A. Clifton


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PCPs: Patient Cardiac Prototypes


Nov 28, 2020
Dani Kiyasseh, Tingting Zhu, David A. Clifton


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Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease


Nov 17, 2020
Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract. 6 pages, 5 figures 

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Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location


Jul 01, 2020
Rasheed el-Bouri, David Eyre, Peter Watkinson, Tingting Zhu, David Clifton

* In Proceedings of the 37th International Conference on Machine Learning, 2020 
* 16 pages, 31 figures, In Proceedings of the 37th International Conference on Machine Learning 

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