Michael Boniface

University of Southampton — United Kingdom

Computer Science · Physical Sciences

19h-index1.3kcitations203works2.42yr avg
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Research Topics

Distributed and Parallel Computing Systems(27), Service-Oriented Architecture and Web Services(22), Multimedia Communication and Technology(17), Scientific Computing and Data Management(16), Chronic Disease Management Strategies(16)

Publications203 total

How data drift impacts the safety and interpretability of machine learning models predicting risk from blood glucose control
BMJ Digital Health & AI·2026Open Access
An informatics approach to profiling patient experiences using electronic health records: constructing and clustering the burden space of individuals under 65 years of age with multiple long-term conditions
2025Open Access
Variations in social care need reporting amongst GP practices in England: a retrospective cohort study in people with multimorbidity
BMC Primary Care·2025Open Access
Incidence and diagnosis of iron deficiency among patients receiving a blood transfusion in the emergency department
Blood·2025Open Access
Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data
BMC Medical Informatics and Decision Making·2025Open Access
Preliminary Findings on UK Secondary Educators’ Perceptions of XR in Health Education: Benefits, Barriers, and Content Creation
2025
Predicting onward care needs at admission to reduce discharge delay using explainable machine learning
Scientific Reports·2025· 2 citedOpen Access
Impact of accurate initial discharge planning and inpatient transfers of care on discharge delays: a retrospective cohort study
BMJ Open·2025Open Access
Capturing the human impact of living with multiple long-term conditions in routine electronic health records – lost in translation?
Journal of Multimorbidity and Comorbidity·2025· 1 citedOpen Access
Cohort profile: creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and young adult e-cohort (SMYC) to investigate the lived experience of the ‘burdensomeness’ of multimorbidity
BMJ Open·2025· 2 citedOpen Access
Impact of accurate initial discharge planning and in-patient transfers of care on discharge delays: a retrospective cohort study
2024· 3 citedOpen Access
The SAIL MELD-B e-cohort (SMC) and SAIL MELD-B Young adult e-cohort (SMYC) – a reproducible methodological pipeline for dynamic cohort curation and research
International Journal for Population Data Science·2024Open Access
Pretrained Language Models for Semantics-Aware Data Harmonisation of Observational Clinical Studies in the Era of Big Data
2024Open Access
Predicting onward care needs at admission to reduce discharge delay using machine learning
2024Open Access
Pretrained Language Models for Semantics-Aware Data Harmonisation of Observational Clinical Studies in the Era of Big Data
2024· 2 citedOpen Access
AI in Health and Social Care: A Methodology for Privacy Risk Modeling and Simulation
2024· 1 citedOpen Access
Burdening the Predictive Mind: A Predictive Processing Approach to Health-Related Burdens
2024Open Access
Person-centred data sharing: Empirical studies in private individuals’ attitudes
Open Research Europe·2024Open Access
Cohort profile for the creation of the SAIL MELD-B e-cohort (SMC) and SAIL MELD-B children and Young adult e-cohort (SMYC)
2024Open Access
Characterising user engagement with mHealth for chronic disease self-management and impact on machine learning performance
npj Digital Medicine·2024· 9 citedOpen Access
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Frequent Co-authors

Zlatko Zlatev(10), Dimosthenis Kyriazis(8), Stephen Phillips(7), George Kousiouris(6), Andreas Menychtas(6), Christopher Duckworth(6), Daniel Burns(6), Mike Surridge(6), Francis Chmiel(5), Paul Lewis(5), Kirk Martinez(5), Matthew Addis(5), Thomas Voith(5), Sören Berger(5), Juri Papay(4), Brian Pickering(4), Tommaso Cucinotta(4), Stephen Taylor(4), Matthew Inada-Kim(4), Adriane Chapman(3)