Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
Journal article
Small SR. et al, (2024), Med sci sports exerc
Predicting malaria outbreaks using earth observation measurements and spatiotemporal deep learning modelling: a South Asian case study from 2000 to 2017
Journal article
Khalid S., (2024), The lancet planetary health
Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty.
Journal article
Small SR. et al, (2024), Med sci sports exerc, 56, 805 - 812
Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries
Preprint
Prieto-Alhambra D. et al, (2024)
Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.
Journal article
Pineda-Moncusí M. et al, (2024), Sci data, 11
Changes in environmental and socioeconomic determinants of child health: a descriptive analysis of spatio-temporal movement patterns of 237,316 children
Conference paper
Perramon A. et al, (2024)
Does hot weather affect physical activity and sleep: a retrospective cohort analysis of 90,434 individuals from the UK Biobank
Conference paper
Small S. et al, (2024)
Humanitarian costs of climate change: mapping the impact of 2022 Pakistan floods on disruption to education and health using earth observation and data fusion
Conference paper
Nazir U. et al, (2024)
Predicting malaria outbreaks using earth observation measurements and spatio-temporal deep learning modelling: a South Asia case study from 2000 to 2017
Conference paper
Nazir U. et al, (2024)
Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
Conference paper
Nazir U. et al, (2023), Proceedings of the neurips 2023 workshop on tackling climate change with machine learning
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
Conference paper
KHALID S. et al, (2023)
Classification of patients with osteoarthritis through clusters of comorbidities using 633 330 individuals from Spain.
Journal article
Pineda-Moncusí M. et al, (2023), Rheumatology (oxford), 62, 3592 - 3600
Changes in air pollution exposure after residential relocation and body mass index in children and adolescents: A natural experiment study.
Journal article
Warkentin S. et al, (2023), Environ pollut, 334
Machine Learning for Risk Factor Identification and Cardiovascular Mortality Prediction Among Patients with Osteoporosis.
Conference paper
Hasheminasab SA. et al, (2023), Annu int conf ieee eng med biol soc, 2023, 1 - 4
Device-Measured Physical Activity in 3,511 Individuals with Knee or Hip Arthroplasty
Preprint
Small SR. et al, (2023)
Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South.
Journal article
Junior EPP. et al, (2023), J am med inform assoc, 30, 643 - 655
Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
Preprint
Small SR. et al, (2023)
Application of machine learning methods in risk assessment of fracture associated with antihypertensives in older people with a large number of confounders
Conference paper
Guo Y. et al, (2023), Pharmacoepidemiology and drug safety, 32, 500 - 500
Causal forests versus inverse probability weighting for addressing cluster-level confounding in medical device and surgical epidemiology: A simulation study
Conference paper
Du M. et al, (2023), Pharmacoepidemiology and drug safety, 32, 309 - 309