Intelligent Personalized Health Intervention System Using Deep Learning and Blockchain Technology for Chronic Disease

Abstract

Chronic diseases such as diabetes, cardiovascular disorders, and kidney diseases continue to be among the most serious global health concerns, accounting for high morbidity and mortality rates worldwide [21], [25]. This research introduces an Intelligent Personalized Health Intervention System that leverages Deep Learning and Blockchain Technology to enable secure, predictive, and data-driven healthcare management. The system employs deep learning models for early detection of chronic disease risks [2], [14], while blockchain ensures tamper-proof and decentralized storage of sensitive health data [1], [10]. In addition, Optical Character Recognition (OCR) and Natural Language Processing (NLP) are used to automatically extract and analyze information from medical documents, thereby reducing manual intervention and improving diagnostic accuracy [9], [17]. The proposed framework integrates patient health records, predictive analytics, and personalized recommendations within a secure web-based environment, aiming to enhance patient engagement, ensure data privacy, and support timely medical decision-making [12], [24].

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