An Online Hypertension Risk Monitoring System

Authors

  • N. C Egejuru Department of Computer Science, Hallmark University, Ijebu Itele, Ogun State, Nigeria
  • N. C Egejuru Department of Computer Science, Hallmark University, Ijebu Itele, Ogun State, Nigeria
  • F. A. Oladeji Department of Computer Science, University of Lagos.
  • A. O. Asinobi Department of Paediatric College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.
  • P. A Idowu Department of Computer Science & Engineering, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria.

Keywords:

Risk, Diagnosis, Hypertension, Monitoring, Web-Based System

Abstract

High Blood Pressure is a key risk factor for chronic kidney disease, haemorrhagic stroke, ischaemic stroke, heart failure, myocardial infarction, early death, and cognitive decline. It is still a problem for worldwide public health. The threat of hypertension and related disorders will be significantly reduced with early detection of hypertension and raising awareness. Having a web-based system will bring solutions to reducing its devastating effects on health. This study developed a hypertension risk monitoring web-based system that can be accessed by authorized medical practitioners and patients. The unified modeling language (UML) tools were used to design the system, and Web 2.0 technologies, MySQL, HTML, PHP, XML, Java, and CSS were used in its implementation. The local host Web-Apache-MySQL-PHP (WAMP) server was used to host the web-based hypertension risk monitoring system (BP_HRMSystem). Utilizing previously gathered hospital data for testing, the deployed system produced 100% accuracy. To offer reliable, fast, and comprehensive information regarding hypertension, it would be crucial to adopt this approach for monitoring hypertension risks. Medical practitioners and patients can use this hypertension risk monitoring system to identify, classify, diagnose, and manage hypertension and associated risk.

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Published

2022-11-22