Bouchaib Cherradi

École Normale Supérieure de l'Enseignement Technique de Mohammedia

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About

Bouchaib Cherradi is a leading researcher at the intersection of artificial intelligence and healthcare, whose work is pioneering the use of machine learning for critical medical diagnostics. His most influential contribution, the 2020 study "Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques," has garnered 37 citations for demonstrating how ensemble learning can dramatically improve the early detection of coronary artery disease. By fusing neural networks with adaptive boosting, Cherradi created a predictive model that outperforms traditional diagnostic methods, offering a powerful tool for preemptive cardiac care. Beyond this landmark work, he has also ventured into the frontier of natural language processing with his 2024 scoping review on large language models (LLMs), which systematically maps the architectural innovations and training strategies driving today's generative AI. This forward-looking synthesis, already accumulating 5 citations, positions him as a versatile scholar bridging classical machine learning with cutting-edge LLM research. Cherradi’s contributions are not merely technical; they represent a tangible step toward democratizing advanced diagnostic tools, making him a vital voice in the ongoing transformation of medicine through artificial intelligence.