A Survey on Hypertension Prediction using Image Processing

Registration ID: IJNRD_204197

Published ID: IJNRD2308307

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

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

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

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.

Published Paper   E-Certificate

Yallamanda Challa, Dr. Prabakaran G , & Dr. N Sameera (August-2023). A Survey on Hypertension Prediction using Image Processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(8), c826-c830. http://doi.one/10.1729/Journal.35881

Volume 8 Issue 8, August-2023

Pages : c826-c830

Paper Reg. ID: IJNRD_204197

Published Paper Id: IJNRD2308307

Downloads: 000121991

Research Area: Science & Technology

Country: Eluru, Andhra radesh, India

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

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

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

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

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