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2019 | OriginalPaper | Chapter

Prediction of Cervical Cancer Based on the Life Style, Habits, and Diseases Using Regression Analysis Framework

Authors : K. Vinoth Raja, M. Thangamani Murugesan

Published in: Data Science and Big Data Analytics

Publisher: Springer Singapore

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Abstract

Cervical cancer is the most common disease in the woman nowadays. Even though its panic diseases, we can control and prevent it by finding the symptoms of growing cancer. It is the disease formed in the genital area of the woman and later it spreads to all the parts of the body and makes the system collapse to stop functioning of the organs. Condylomatosis, wrong sexual practices and hormonal contraceptives are one of the major primary factors for getting the cervical cancer very easily via Human Papilloma Virus. The secondary factors for causing the cervical cancer is smoking and alcoholic usage. Along with these factors molluscum contagiosum, HIV and Hepatitis B also make the humans to get affected by the cervical cancer very easily. All these factors are to be considered for analysing the patient whether they got affected by the cervical cancer. Regression Analysis model framework is used for comparing the various factors to determine the diseases vastly.

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Metadata
Title
Prediction of Cervical Cancer Based on the Life Style, Habits, and Diseases Using Regression Analysis Framework
Authors
K. Vinoth Raja
M. Thangamani Murugesan
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7641-1_13

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