Providing an Approach Based on the Internet of Things Platform to Monitor and Control the Conditions of Patients (Diabetes) with Classification Technique to Improve the Accuracy and Speed of the Monitoring System: (Case Study Diabetes Disease)
Year: 2024
Type: article
Abstract: This paper presents the design and implementation of an Internet of Things (IoT)-based monitoring and control system for diabetes management.The system integrates suitable sensors, software algorithms, and hardware components to collect and analyze physiological data from diabetic patients.The proposed system demonstrates high performance in accurately detecting and monitoring diabetes conditions based on data analysis.The evaluation of the system's effectiveness, accuracy, and usability highlights its potential to enhance diabetes care outcomes by providing timely interventions and personalized care.Future research will focus on further refining the system's capabilities to meet the evolving needs of diabetic patients and healthcare providers.This paper addresses the growing demand for innovative solutions in diabetes care using IoT technology.By offering real-time monitoring and personalized interventions, the developed system provides a promising approach to improving patient outcomes and delivering healthcare services.Through continuous refinement and adaptation, this system has the potential to revolutionize diabetes management and pave the way for improved quality of life for individuals with diabetes worldwide.As technology continues to evolve, integrating IoT-based solutions into healthcare systems will play a crucial role in addressing the complex challenges associated with chronic conditions like diabetes.
Author: Mahboobeh Dargahi
Institution: Tehran University of Medical Sciences
Language: English
Topic: Internet of Things and AI
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403776206