Virtual Telemedicine System for Remote Health Monitoring of Patients

The Objective of the proposed work is to apply an Internet of Things-based real-time remote patient monitoring system. Healthcare technology is one of the most popular studies in recent years. people's lifespans have successfully extended with the development of healthcare facilities and technologies. However, people in rural areas still have difficulty in obtaining healthcare services due to the barrier of distance and lack of doctors. The present work provides one of the best solutions to overcome this issue. During the pandemic situation, mortality was observed due to a lack of doctors and infrastructure as the patient-to-doctor ratio was more. The proposed experiment helps to overcome these problems. The data collected from various sensors are sent to the cloud and prediction along with a diagnosis of the patient are implemented. Algorithms like Logistic Regression, Random Forest and Extreme Gradient Boosting are being compared to obtain maximum accuracy. The Random Forest model is providing good accuracy for the prediction of a patient's condition compared to other algorithms.