REVIEW OF BLOOD PRESSURE DETECTION BASED ON MACHINE LEARNING TECHNIQUES
Paper Title: REVIEW OF BLOOD PRESSURE DETECTION BASED ON MACHINE LEARNING TECHNIQUES
Authors Name: SMRITI CHAND , GAGANPREET KAUR , Dr. Rishu Bhatia
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Author Reg. ID: TIJER_107604
Published Paper Id: TIJER2307085
Published In: Volume 10 Issue 7, July-2023
Abstract: High blood pressure, also known as hypertension, is a prevalent and potentially life-threatening medical condition that affects millions of individuals worldwide. Early and accurate detection of blood pressure levels is crucial for effective management and prevention of related health complications. Machine learning techniques have emerged as powerful tools for analyzing and predicting various medical conditions, including blood pressure. Heart disease is major cause due to the high blood pressure. The ECG dataset provide the information of blood pressure status as well as heart pulse rate. This article aims to provide an overview of the application of machine learning in blood pressure detection, highlighting different techniques, challenges, and future prospects.
Keywords: Blood pressure, ECG, Heart disease, Pulse rate, Machine learning technique.
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Page No: 735-739
Country: NEW DELHI, DELHI, India
Research Area: Science and Technology
Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJER2307085
Published Paper PDF: https://tijer.org/TIJER/papers/TIJER2307085
ISSN:
2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar| ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER(IJPublication)
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