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The Machine Learning Algorithm for Prediction of Risk Factors of Cervical Cancer
Author(s) -
Mr. Mahesh Patil
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35882
Subject(s) - cervical cancer , medicine , cancer , human papilloma virus , disease , gynecology , hpv infection , cervix , obstetrics , oncology , immunology
Cervical cancer is caused by the Human Papilloma Virus (HPV), the most common infection of the reproductive tract. Almost all cervical cancer cases (99 %) are linked to infection with high-risk human papillomaviruses. The peak time for infection is shortly after becoming sexually active, and most individuals with healthy immune systems will clear the virus within a few years. Almost all sexually active individuals will become infected with HPV at some point in their lives and some may repeatedly be infected. Cervical cancer is the fourth most commonly occurring cancer in women and the eighth most commonly occurring cancer overall. In 2018, an estimated 5,70,000 womens were diagnosed with cervical cancer worldwide and about 3,11,000 womens died from the disease. In India, cervical cancer contributes to approximately 6-29% of all cancers in women.

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