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Author

Stephen Uche Udeh

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Open access Aug 2026

Reinforcement Learning for Personalized Insulin Dosing: A Comparative Study of A2C, SAC and PPO on Real-World Clinical Data

It is shown that higher cumulative reward does not necessarily correspond to better clinical decision-making in open-loop reinforcement learning environments, and the importance of behaviour-focused evaluation alongside conventional reward metrics is highlighted.

C. M. Anyanwu, Nkiru C. Ogbonna, M. Kam et al. · 0 citations
Open access Aug 2026

Machine Learning- Based Cardiovascular Disease Risk Prediction in Hypertensive Patients: Explainable insights into Clinical Risk Factors

Findings highlight blood pressure and body size measures as the dominant clinical signals in this dataset, while demonstrating the potential of an explainable machine-learning model based on routinely collected clinical data to support cardiovascular risk stratification and clinical decision-making in hypertensive pati...

C. M. Anyanwu, J. C. Onyianta, Ogechi Gift Onyedi et al. · 0 citations

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