Browsing by Author "MECILI OUALID"

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The Use of big data and data analytics in the prevention, Diagnosis and prediction of long term diseases.
(university of bordj bou arreridj, 2026) MECILI OUALID
The increasing prevalence of long-term diseases, particularly diabetes, presents significant chal lenges to global healthcare systems. Early prediction, accurate diagnosis, and continuous mon itoring are crucial for improving patient outcomes and reducing healthcare costs. This thesis explores the use of Big Data and data analytics in the prevention, diagnosis, and monitoring of long-term diseases, focusing specifically on diabetes. The core objective is the development of an integrated system that supports individuals throughout the disease lifecycle. The proposed system is structured into three main phases: first, the creation of predictive algorithms capa ble of estimating an individual’s risk of developing diabetes within a ten-year period; second, the application of explainable neural networks to diagnose diabetes based on retinal imaging, ensuring transparency and trust in AI-driven decisions; and third, the development of a digital platform to continuously monitor patients, facilitating proactive management and personalized care. By leveraging machine learning, Big Data technologies, and explainable AI, this work aims to contribute to a more predictive, preventive, and participatory healthcare model for chronic disease management