SMART APPROACH FOR HEALTH CARE MONITORING SYSTEM USING RANDOM FOREST AND LOGISTIC REGRESSION

Abstract

Nowadays the Health care technology is most pop- ular across all over the world. This Health Care Monitoring Systems has the proposed system which it has to integrate such wearable devices, Internet of Things sensors, Machine Learning Algorithms to monitor such vital signs and to detect such various anomalies and to provide such actional activities in such insights. The Data Collected from the wearable devices and the various sensors that it can be analyzed and to show the detailed analysis of the patient that which it shows the condition of the patient and to predict the precautions and safety measures regarding to the problem as the patient is being suffering to the medication. Healthcare providers can remotely monitor multiple patients, prioritize high-risk cases, and optimize treatment plans based on the platform’s insights. However, the dearth of physicians and the barrier of distance continue to make it difficult for residents in rural areas to get professional healthcare services. One of the greatest ways to get around this problem is to use a remote patient monitoring system.