Machine Learning Applied To Cervical Cancer Data

R. Senkamalavalli, M. B. Sahaai, V. V. Lakshmi, A. Kanchana, N.S. Rajulu
{"title":"Machine Learning Applied To Cervical Cancer Data","authors":"R. Senkamalavalli, M. B. Sahaai, V. V. Lakshmi, A. Kanchana, N.S. Rajulu","doi":"10.18137/cardiometry.2023.26.491498","DOIUrl":null,"url":null,"abstract":"Cervical cancer is a type of cancer that occurs in the cells of the cervix. Cervix is the lower part of the uterus that connects to the vagina. It arises due to the abnormal growth of cells and spreads to other parts of the body. Smoking is also considered as one of the main causes for cervical cancer. Long term use of Oral contraceptive pills can also cause cancer. Also having multiple pregnancies can cause cervical cancer. Cervical cancer often has no symptoms in its early stages. It is fatal most of the time. The most common symptom is unusual vaginal bleeding. Here the machine learning algorithms are used to predict the occurrence of cervical cancer. Predicting the presence of cervical cancer can help the diagnosis process to start at an earlier stage.","PeriodicalId":41726,"journal":{"name":"Cardiometry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18137/cardiometry.2023.26.491498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cervical cancer is a type of cancer that occurs in the cells of the cervix. Cervix is the lower part of the uterus that connects to the vagina. It arises due to the abnormal growth of cells and spreads to other parts of the body. Smoking is also considered as one of the main causes for cervical cancer. Long term use of Oral contraceptive pills can also cause cancer. Also having multiple pregnancies can cause cervical cancer. Cervical cancer often has no symptoms in its early stages. It is fatal most of the time. The most common symptom is unusual vaginal bleeding. Here the machine learning algorithms are used to predict the occurrence of cervical cancer. Predicting the presence of cervical cancer can help the diagnosis process to start at an earlier stage.
机器学习在癌症宫颈数据中的应用
癌症是一种发生在宫颈细胞中的癌症。子宫颈是连接阴道的子宫下部。它是由细胞的异常生长引起的,并扩散到身体的其他部位。吸烟也被认为是导致癌症的主要原因之一。长期服用口服避孕药也可能导致癌症。多胞胎也可能导致宫颈癌症。癌症的早期通常没有任何症状。大多数时候它是致命的。最常见的症状是不寻常的阴道出血。在这里,机器学习算法被用来预测宫颈癌症的发生。预测癌症的存在可以帮助诊断过程在早期开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cardiometry
Cardiometry MEDICAL LABORATORY TECHNOLOGY-
自引率
0.00%
发文量
0
审稿时长
6 weeks
期刊介绍: Cardiometry is an open access biannual electronic journal founded in 2012. It refers to medicine, particularly to cardiology, as well as oncocardiology and allied science of biophysics and medical equipment engineering. We publish mainly high quality original articles, reports, case reports, reviews and lectures in the field of the theory of cardiovascular system functioning, principles of cardiometry, its diagnostic methods, cardiovascular system therapy from the aspect of cardiometry, system and particular approaches to maintaining health, engineering peculiarities in cardiometry developing. The interdisciplinary areas of the journal are: hemodynamics, biophysics, biochemistry, metrology. The target audience of our Journal covers healthcare providers including cardiologists and general practitioners, bioengineers, biophysics, medical equipment, especially cardiology diagnostics device, developers, educators, nurses, healthcare decision-makers, people with cardiovascular diseases, cardiology and engineering universities and schools, state and private clinics. Cardiometry is aimed to provide a wide forum for exchange of information and public discussion on above scientific issues for the mentioned experts.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信