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Open access Aug 2026

Anticipating health and care trajectories from routinely collected social care records

Predictive modelling in healthcare has advanced rapidly, yet social care systems, despite their central role in supporting vulnerable populations, remain underexplored in this domain. In this study, we apply machine learning to a large, pseudonymised dataset of social care records from 27,590 adults in Oxfordshire, enc...

Xiao Gu, Rebecca Nourse, Lei Lu et al. · 0 citations
Open access Aug 2026

Predictive Modeling of 30-Day Readmission Risk: A Machine Learning Approach for Health Management

Aim: This study aims to develop and evaluate predictive models capable of identifying patients at risk of 30-day readmission using structured inpatient data.Material and Method: The analysis was conducted on a fully synthetic dataset designed to reflect the complexity of real-world clinical data while ensuring the prot...

Alican Doğan · 0 citations
Review Open access Sep 2026

From screening to prediction: rethinking malnutrition risk in primary care

Abstract Despite more than 90% of cases arising in the community, malnutrition is under-recognised in UK primary care. Current screening tools such as the Malnutrition Universal Screening Tool identify malnutrition once it is already established and are inconsistently implemented. As a result, malnutrition is detected...

Pratyasha Saha, James Holmes, Charlotte Davies et al. · 0 citations
Open access Sep 2026

Evaluation of a National Health Service Machine-Learning Model for Hypertension Case-Finding: Retrospective Cohort Study

Abstract Background Hypertension is a leading preventable cause of cardiovascular disease, yet a substantial proportion of adults remain undiagnosed, limiting opportunities for early intervention. A predictive model was commissioned by the North West London (NWL) Integrated Care Board to identify undiagnosed hypertensi...

Gloria Ihenetu, A. Alkhatib, Vesselin Novov et al. · 0 citations
Open access Aug 2026

Data-Driven Prediction of Hospital-Acquired Infections in Greek ICUs: Comparative Analysis of Machine Learning and Traditional Techniques

Hospital-acquired infections (HAIs) constitute a critical challenge in intensive care units (ICUs). In Greece, data limitations due to incomplete electronic record implementation hinder advanced risk management. This study aims to compare the predictive performance of machine learning algorithms versus traditional tech...

Vasileios Georgakis, P. Xenos · 0 citations
Open access Oct 2026

A PRCI-Based Individualized Risk Prediction Model for Potentially Inappropriate Medication in Older Outpatients

Objectives: Potentially inappropriate medication (PIM) use remains highly prevalent among older outpatients, yet individualized risk prediction tools are limited. This study aimed to develop and validate a PIM risk prediction model incorporating a novel disease-weighted index. Methods: A multicenter cross-sectional stu...

Zhao-Yan Chen, Cong Zhou, Yong-Fei Dong et al. · 0 citations

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