Machine LearningTrends in Medical Sciences

Q3 Medicine
Vaishali Malpe, Prathamesh S. Tugaonkar
{"title":"Machine LearningTrends in Medical Sciences","authors":"Vaishali Malpe, Prathamesh S. Tugaonkar","doi":"10.1109/I-SMAC.2018.8653756","DOIUrl":null,"url":null,"abstract":"Machine Learning is ruling the world due to its accuracy and timely predictions for the given set of problems. Machine Learning is highly used for health monitoring to reduce the mortality rate and enhance the life expectancy. Organs such as kidneys, pancreas are highly affected in the run of life. Cancers like breast cancer has shown increase in the count since last decade. This leads to invent new techniques in the field of medical sciences which can give accurate and timely predictions to reduce the mortality rate. This paper presents comparative study of the current research using various machine learning algorithms and big data techniques to handle huge volume of data.","PeriodicalId":53631,"journal":{"name":"Koomesh","volume":"39 1","pages":"495-499"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Koomesh","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC.2018.8653756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 4

Abstract

Machine Learning is ruling the world due to its accuracy and timely predictions for the given set of problems. Machine Learning is highly used for health monitoring to reduce the mortality rate and enhance the life expectancy. Organs such as kidneys, pancreas are highly affected in the run of life. Cancers like breast cancer has shown increase in the count since last decade. This leads to invent new techniques in the field of medical sciences which can give accurate and timely predictions to reduce the mortality rate. This paper presents comparative study of the current research using various machine learning algorithms and big data techniques to handle huge volume of data.
医学科学中的机器学习趋势
机器学习正在统治世界,因为它对给定问题集的准确和及时的预测。机器学习被广泛用于健康监测,以降低死亡率和提高预期寿命。肾脏、胰腺等器官在生命的运行过程中受到高度影响。自过去十年以来,乳腺癌等癌症的数量有所增加。这导致在医学科学领域发明新技术,可以提供准确和及时的预测,以降低死亡率。本文对目前使用各种机器学习算法和大数据技术处理海量数据的研究进行了比较研究。
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
Koomesh
Koomesh Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
24 weeks
×
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