International Journal of Engineering and Information Systems (IJEAIS)

Title: A proposed accurate system for diagnosing hypertension

Authors: Yahya Mohammed Alkurd, Samy S. Abu-Naser

Volume: 9

Issue: 6

Pages: 33-45

Publication Date: 2025/06/28

Abstract:
Hypertension, commonly referred to as high blood pressure, is a leading global health concern, affecting millions and increasing the risk of severe complications such as heart disease, stroke, and kidney failure. Accurate and timely diagnosis is crucial for effective management and prevention of associated risks. This paper proposes an innovative and accurate system for diagnosing hypertension, utilizing advanced technologies such as expert systems and artificial intelligence (AI). The proposed system integrates patient data, including blood pressure measurements, medical history, and lifestyle factors, to provide a precise diagnosis and tailored recommendations for treatment. Designed with a user-friendly interface, the system aims to assist healthcare providers and empower patients with early and accurate detection of hypertension. Initial evaluations suggest the system's potential to enhance diagnostic accuracy, reduce errors, and streamline clinical workflows. By bridging the gap between technology and healthcare, this system represents a significant advancement in combating one of the world's most pressing health challenges.

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