Applying Deep Learning and Natural Language Processing in Cancer: A Survey

Aiman AbuSamra, Areej M. R. Al-Madhoun
{"title":"Applying Deep Learning and Natural Language Processing in Cancer: A Survey","authors":"Aiman AbuSamra, Areej M. R. Al-Madhoun","doi":"10.1109/PICICT53635.2021.00030","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) tools significantly bolstered and facilitated the complexity of forecasting dangers, catching cancer earlier, and predicting the survival after treatment. Nowadays, they are emerging as a major adjunct for clinical and medical approaches. In this paper, the main idea concentrates on using deep learning (DL) and natural language processing (NLP) to scan, diagnose, and reduce any future negativities of cancer and oncology. In addition to giving strong variety of structural, systematic analysis of some reviewed studies. The primary aim of this survey is that it includes and represents a helpful guidance for researchers who need such direct evaluation of existed techniques for the purpose of more effective maintenance and development.","PeriodicalId":308869,"journal":{"name":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Palestinian International Conference on Information and Communication Technology (PICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICICT53635.2021.00030","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

Artificial intelligence (AI) tools significantly bolstered and facilitated the complexity of forecasting dangers, catching cancer earlier, and predicting the survival after treatment. Nowadays, they are emerging as a major adjunct for clinical and medical approaches. In this paper, the main idea concentrates on using deep learning (DL) and natural language processing (NLP) to scan, diagnose, and reduce any future negativities of cancer and oncology. In addition to giving strong variety of structural, systematic analysis of some reviewed studies. The primary aim of this survey is that it includes and represents a helpful guidance for researchers who need such direct evaluation of existed techniques for the purpose of more effective maintenance and development.
深度学习和自然语言处理在癌症中的应用综述
人工智能(AI)工具极大地支持和促进了预测危险、早期发现癌症和预测治疗后生存的复杂性。如今,它们正在成为临床和医学方法的主要辅助手段。在本文中,主要思想集中在使用深度学习(DL)和自然语言处理(NLP)来扫描,诊断和减少癌症和肿瘤学的任何未来负面影响。此外,还对一些综述性研究进行了较强的结构、系统的分析。这项调查的主要目的是,它包括并代表了一个有帮助的指导,研究人员需要这样的现有技术的直接评价的目的是更有效的维护和发展。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信