An Intelligent System for Remote Monitoring of Patients Health and the Early Detection of Coronary Artery Disease

Abstract

India is a country where number of death occur due to road accidents and thus because of the bad health condition of the driver's. To overcome this issue the remote patient monitoring system has to be deployed to find the conditions of patients and update their health information. A new system has been developed, that monitors the activities of the user their behavior, health monitoring and detection of stress this device helps in accessing all those conditions and provides better results for the healthier living of the user or patients. The ability of predicting the prevalence of diabetes and hypertension in the Indian women using the specific thresholds indices are examined. The cut off point for waist circumstances is >35% thresholds, 12% have more than WC threshold in hypertension and 13 % in case of diabetic patients. The body mass index cut point threshold value is 25.02 kg/m2 and 34 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> people have more than BMI cut-point in case of hypertension and 25% have more than BMI cut point in case of diabetes. In case of waist to height ratio cutoff only 1% have missed the cutoff in hypertension and 0% in case of diabetes, from these three parameters have the same ability in predicting the hypertension and diabetes in Indian women. The health monitoring system is proposed using decision tree.