Enhanced Deep Learning Model for Remotely Monitoring Chronically Illness and Elderly People Support to Ensure Effective Health Care System

Abstract

In today's world, everyone's health is a major concern and a major cause of anxiety. People are prone to a wide range of illnesses because of their poor lifestyle choices. People are primarily affected by heart attacks and low oxygen levels because of inadequate medical care and delayed diagnosis. The effort aims to remotely monitor a range of physiological markers so that the chronically ill and elderly can live peacefully in their own homes and have ongoing health monitoring. This makes it possible for family members and medical experts to step in if issues arise. Modern medical technology, including as body sensors and machine learning, can help seniors and people in pandemic scenarios by delivering high-quality medical treatment directly to their door. The three layers of the proposed system were the Decision Making System Layer, Data Transfer and Communication Layer, and Sensor Layer.