Clifton, David A.

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings

Jarchi, D., Salvi, D., Velardo, C., Mahdi, A., Tarassenko, L., & Clifton, D. A. (2018) · 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control

Cited by 38

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care

El-Bouri, R., Eyre, D. W., Watkinson, P., Zhu, T., & Clifton, D. A. (2021) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 30

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small, S. R., Chan, S., Walmsley, R., Fritsch, L. V., Acquah, A., Mertes, G., Feakins, B. G., Creagh, A., Strange, A., Matthews, C. E., et al. (2023) · medRxiv

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 22

Continual learning of longitudinal health records

Armstrong, J., & Clifton, D. A. (2022) · 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)

Machine Learning in HealthcareDomain Adaptation and Few-Shot Learning

Cited by 21

Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality

Sharma, P., Shamout, F. E., & Clifton, D. A. (2019) · arXiv

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 18