Abdallah Benhamida

Papers

Total Citations

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About

Abdallah Benhamida is a researcher whose work bridges artificial intelligence and healthcare, with a particular focus on developing intelligent systems for clinical decision support. His most cited paper, "Fuzzy Model for Early Warning Score System" (2019, 5 citations), introduces a novel approach to patient monitoring by integrating fuzzy logic with early warning scoring—a method that enhances the detection of patient deterioration in hospital settings. This contribution reflects his broader expertise in applying machine learning, neural networks, and fuzzy systems to medical image processing, biometrics, and mobile robotics. Benhamida’s research demonstrates a commitment to making AI more interpretable and reliable for real-world medical applications, addressing critical challenges in feature extraction and image classification. His work has been cited in contexts ranging from biomedical optical imaging to face recognition, underscoring its interdisciplinary impact. By combining computational intelligence with healthcare needs, Benhamida continues to advance the frontier of smart, responsive medical technologies.