Year: 2025
Type: article
Abstract: : Diabetes, a chronic disease that affects millions worldwide, presents a growing challenge for healthcare systems as its prevalence continues to increase. Effective management is essentialtopreventcomplicationssuch asneuropathy,nephropa- thy, andretinopathy, which can severely affectthequalityof life of patients. Traditional glucose monitoring methods areoften invasive and require manual data recording, making it difficult to maintain consistent and accurate records. These limitations highlight the need for more advanced and user- friendlymonitoringsolutions.ThisworkproposesanIoT-enabled diabetes management system that offers real-time automated monitoring of blood glucose levels.By integrating IoTtechnology and Big Data analytics, the system provides a noninvasive, continuous monitoring solution that reduces the burden on patients and enhances data accuracy. In addition, the system leverages predictive analytics to predict glucose fluctuations, enabling proactive interventions. This approach empowers both patients and healthcareprofessionalstomakeinformeddecisions and take timely actions, ensuring better health outcomes and improved diabetes management
Institution: Priyadarshini College of Engineering
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408763558