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Shang-Ming Zhou

University of Plymouth

United Kingdom

Research Interests

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Articles (20)

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2026

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Collaborators (9)

Yinghui Wei

Professor of Data Science in Applied Health

University of Exeter

UNITED KINGDOM

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Donald Fraser

Professor

Cardiff University

UNITED KINGDOM

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Inocencio Daniel Maramba

University of Plymouth

UNITED KINGDOM

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Arjune Sen

Professor of Global Epilepsy

University of Oxford

UNITED KINGDOM

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Ray Jones

Professor of Health Informatics

University of Plymouth

UNITED KINGDOM

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Kate Maslin

Senior Research Fellow

University of Plymouth

UNITED KINGDOM

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Umair Tariq

Lecturer Computing

Birmingham City University

UNITED KINGDOM

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Olivia Ng

Lee Kong Chian School of Medicine, Nanyang Technological University

SINGAPORE

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Jamie Duell

Lecturer in Artificial Intelligence

Sheffield Hallam University

UNITED KINGDOM

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Shang-Ming Zhou

Research Interests

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Articles (20)

Interpretable Multimodal Machine Learning for Diagnosis of Drug-Resistant Tuberculosis

Transformer-Based Drug-Resistant TB Diagnosis from Chest X-rays: Multi-class Evaluation and Deployment Insights

Retired doctors as users of patient-facing electronic health records: a mixed-methods survey in the UK and Spain

A Competency Framework for Medical AI Education: Mixed Methods Study

Unravelling impact of comorbidities on mortality risks in CKD patients during the COVID-19 pandemic: an explainable AI-driven study

Early Detection of Bladder Cancer Using Advanced Feature Engineering and Swarm Intelligence Optimization on EHRs

Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development

Unveiling novel bladder cancer associations from multicentred primary and secondary care electronic health records by machine learning: a case-control study

Comorbidities and emotions - unpacking the sentiments of pediatric patients with multiple long-term conditions through social media feedback: A large language model-driven study

AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions

ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies

Signs and symptoms of serious illness in infants aged up to 6 months: rapid review of clinical guidelines

COVID-19 and pregnancy: a comprehensive study of comorbidities and outcomes

Early diagnosis of Parkinson's disease using a hybrid method of least squares support vector regression and fuzzy clustering

Five-year recurrence/survival after pancreatoduodenectomy for pancreatic adenocarcinoma: does pre-existing diabetes matter? Results from the Recurrence After Whipple's (RAW) study

Analysing patient-generated data to understand behaviours and characteristics of women with epilepsy of childbearing years: A prospective cohort study

A Dual-Based Pruning Method for the Least-Squares Support Vector Machine

Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study

Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review

Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol

Collaborators (9)

Yinghui Wei

Donald Fraser

Inocencio Daniel Maramba

Arjune Sen

Ray Jones

Kate Maslin

Umair Tariq

Olivia Ng

Jamie Duell

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