A Note on Hypertension Classification Scheme and Soft Computing Decision Making System

Author:

Srivastava Pankaj1,Srivastava Amit2,Burande Anjali3,Khandelwal Amit2

Affiliation:

1. Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad 211004, India

2. Applied Mechanics Department, Motilal Nehru National Institute of Technology, Allahabad 211004, India

3. Department of Mathematics, Dayanand College of Commerce, Latur 413512, India

Abstract

Nowadays young professionals are a soft target of hypertension due to the increased work pressure and poor tolerance. Many people have high blood pressure for years without knowing it. Most of the time, there are no symptoms, but when this condition goes untreated it damages arteries and vital organs throughout the body and that is why it is also termed as the silent killer. Complications arising from hypertension could lead to stroke and heart failure. Soft computing approach provides a sharper conclusion from vague, ambiguous, and imprecise data (generally found in medical field) using linguistic variables. In this study, a soft computing diagnostic support system for the risk assessment of hypertension is proposed.

Publisher

Hindawi Limited

Subject

General Medicine

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1. Pre-Diagnosis of Hypertension Using Artificial Neural Network;European Journal of Theoretical and Applied Sciences;2024-01-01

2. Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve;Journal of Cardiovascular Development and Disease;2023-02-09

3. High blood pressure predictor using binary classification algorithm;INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY;2022

4. Instantaneous Heart Rate-based Automated Monitoring of Hypertension using Machine Learning;2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2021-02-19

5. Artificial Intelligence and Hypertension: Recent Advances and Future Outlook;American Journal of Hypertension;2020-07-02

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