Paper Title

A Survey on Hypertension Prediction using Image Processing

Article Identifiers

Registration ID: IJNRD_204197

Published ID: IJNRD2308307

DOI: http://doi.one/10.1729/Journal.35881

Authors

Yallamanda Challa , Dr. Prabakaran G , Dr. N Sameera

Keywords

blood pressure, Prediction Modules, Logistic Regression, Complex facial variables, Chronic Disease styling, insert

Abstract

Pulmonary hypertension is another name for hypertension. The Capillaries are impacted by this illness. They result from the blood arteries becoming clotted, scarred, or inflamed. This illness primarily affects the body's sensitive areas. By foreseeing the hypertension via image processing. The forehead, cheeks, and nose were three areas of the complexion that were determined using face landmarks that were automatically discovered using image processing techniques. The "Facial Complexion Variables" are employed. The analysis of the relationship between hypertension and certain color variables is done using "Logistic Regression." In various analysis, the A* (green-red) complexion factors were found to be significant predictors across all facial regions for both sexes. Women's L* (lightness) variables emerged as the most reliable predictors after age and body mass index were taken into account.

How To Cite

"A Survey on Hypertension Prediction using Image Processing", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.c826-c830, August-2023, Available :https://ijnrd.org/papers/IJNRD2308307.pdf

Issue

Volume 8 Issue 8, August-2023

Pages : c826-c830

Other Publication Details

Paper Reg. ID: IJNRD_204197

Published Paper Id: IJNRD2308307

Downloads: 000121126

Research Area: Science & Technology

Country: Eluru, Andhra radesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308307.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308307

DOI: http://doi.one/10.1729/Journal.35881

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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