Publications

Armstrong J. and Clifton DA., (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England.

Hill NR. et al, (2022), Journal of medical economics, 25, 974 - 983

Incremental Trainable Parameter Selection in Deep Neural Networks

Thakur A. et al, (2022), IEEE Transactions on Neural Networks and Learning Systems

Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling

Ceritli T. et al, (2022), 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression

Nouriborji M. et al, (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, 1071 - 1077

vital_sqi: A Python package for physiological signal quality control.

Le V-KD. et al, (2022), Frontiers in physiology, 13

Wearable Vital Signs Monitoring for Patients with Asthma: A Review

Taylor L. et al, (2022), IEEE Sensors Journal, 1 - 1

Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.

Chun M. et al, (2021), Scientific reports, 11

Machine learning for chronic disease

Niehaus KE. and Clifton DA., (2016), Machine Learning for Healthcare Technologies, 227 - 249

Machine learning for healthcare technologies - an introduction

Clifton DA., (2016), Machine Learning for Healthcare Technologies, 1 - 6

Patient physiological monitoring with machine learning

Pimentel MAF. and Clifton DA., (2016), Machine Learning for Healthcare Technologies, 111 - 125

Predicting antibiotic resistance from genomic data

Yang Y. et al, (2016), Machine Learning for Healthcare Technologies, 203 - 226

Introduction

Yin H. and Clifton D., (2012), International Journal of Neural Systems, 22

Telemetry-based vital sign monitoring for ambulatory hospital patients

Orphanidou C. et al, (2009), 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Measurement of respiratory rate from the photoplethysmogram in chest clinic patients

Clifton D. et al, (2007), Journal of Clinical Monitoring and Computing, 21, 55 - 61

Two-dimensional tool design for two-dimensional equilibrium electrochemical machining die-sinking using a numerical method

McClennan J. et al, (2006), Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220, 637 - 645

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Publications