UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205548


Registration ID:
402460

Page Number

e372-e379

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Title

PREDICTION OF PREGNANCY HYPERTENSION USING BOOSTING ALGORITHMS

Abstract

Pregnancy is a delicate stage in every woman’s life. In pregnancy, normally the blood pressure of a mother goes down by 10 mmHg from her normal blood pressure. And that is good for fetus health. But during pregnancy, so many complications and risks can arise and blood pressure goes up. High blood pressure is a symptom of hypertension. And it creates a risk to maternal and fetus health at several stages of pregnancy. In today’s era, machine learning has developed so many techniques for the prediction of disease. The main goal of this paper is to analyze and compare different machine learning algorithms used to predict hypertensive disorders. These classification methods help to decrease maternal and fetus mortality, which remains a large problem in many developing nations, especially in rural areas.

Key Words

Data mining, Machine learning algorithms, Prediction, Pregnancy

Cite This Article

"PREDICTION OF PREGNANCY HYPERTENSION USING BOOSTING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.e372-e379, May-2022, Available :http://www.jetir.org/papers/JETIR2205548.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PREDICTION OF PREGNANCY HYPERTENSION USING BOOSTING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppe372-e379, May-2022, Available at : http://www.jetir.org/papers/JETIR2205548.pdf

Publication Details

Published Paper ID: JETIR2205548
Registration ID: 402460
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: e372-e379
Country: Rajkot, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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