Cardiovascular Patients Monitoring Using Internet of Things And Decision Tree

Ahmed, Rasha Ismail; Mohsin, Rasha Mohammed Mohsin Mohammed; Ghani, Rana Fareed

doi:10.33103/uot.ijccce.22.4.12

	Cardiovascular Patients Monitoring Using Internet of Things And Decision Tree
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING
Volume 22, Issue 4, December 2022, Pages 152-159 PDF (775.66 K)
Document Type: Research Paper
DOI: 10.33103/uot.ijccce.22.4.12
Authors
Rasha Ismail Ahmed¹; Rasha Mohammed Mohsin Mohammed Mohsin^* ²; Rana Fareed Ghani³
¹computer science -university of technology
²computer science ,university of technology
³Department of Computer Science, University of Technology, Iraq-Baghdad
Abstract
The rapid growth of the human population and the spread of many bad habits affect the health of human beings, this leads to many health problems, such as heart disease, blood pressure, and diabetes. Some of these diseases require earlier detection and fast treatment, to avoid major risks, such as permanent damage or even life loss. The fast evolution of communications and nanotechnology nowadays is being facilitated to help with saving lives before great damage happens. This paper suggests a special architecture through which to monitor patients remotely using an Internet of Things (IoT)architecture for the purpose of notifying the paramedics and health care centers to rescue the life of cardiovascular patients. The experiments, after attempts with several types of classification algorithms, showed that The result shows that The decision tree has high accuracy for predicting the new heart attack and saving lives before happening of great damage .the result reached between( 83 to 87) percentage, which is a good percentage to avoid the risk of heart attacks and thus reducing death rates.
Keywords
decision tree; heart disease; health care; Internet of Things (IoT); sensors

Statistics Article View: 205 PDF Download: 152