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Impact of the SARS-CoV-2/COVID-19 pandemic on the patient journeys of those with a newly diagnosed paediatric brain tumour in the UK: a qualitative study
Published 2025-01-01“…Five themes describe the journey for new patients with paediatric brain tumour during the pandemic, focusing on (1) challenges getting into the healthcare system, (2) managing as a family during restrictions imposed by the pandemic, (3) complexities of building a cohesive and supportive healthcare team, (4) difficulties caregivers experienced in accessing practical and emotional support in hospital and (5) ongoing difficulties experienced by families in the community.Conclusions Findings from this study offer practical insights from children, parents/caregivers and relevant stakeholders to improve the healthcare system during future disruptions. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks
Published 2024-12-01“…In this interdisciplinary study, two main contributions are proposed for the automated clinical decision-making state-of-the-art: (1) using the real-life data collected from thousands of ICU patients by healthcare professionals, three possibilities (recovery, mortality, and returning to the intensive care unit within 30 days) are predicted for patients in intensive care instead of just one possibility. (2) A novel feature extraction approach is proposed by the biomedical expert in our team. Four machine learning algorithms are applied to the finalized feature set to understand the difference between the binary and the multi-class classification problems. …”
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