Early Detection of Lung Cancer Risk Using Data Mining-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Early Detection of Lung Cancer Risk Using Data Mining

Published:2013-01-31 Issue:1 Volume:14 Page:595-598
ISSN:1513-7368
Container-title:Asian Pacific Journal of Cancer Prevention
language:en
Short-container-title:Asian Pacific Journal of Cancer Prevention

Author:

Ahmed Kawsar,Abdullah-Al-Emran Abdullah-Al-Emran,Jesmin Tasnuba,Mukti Roushney Fatima,Rahman Md. Zamilur,Ahmed Farzana

Publisher

Asian Pacific Organization for Cancer Prevention

Subject

Cancer Research,Public Health, Environmental and Occupational Health,Oncology,Epidemiology

Link

http://ocean.kisti.re.kr/downfile/crosscheck/apocp/JAKO201312855332719.pdf

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying diseases symptoms and general rules using supervised and unsupervised machine learning;Scientific Reports;2024-08-02

2. Effect of Plant Secondary Metabolites against Lung Cancer: A Comprehensive Review on Apoptosis Induction and Synergistic Potential;The Natural Products Journal;2024-04-15

3. Combining data mining and image processing techniques to establish abnormal image prediction mode to increase radiologists' reports quality — use liver cancer patients as an example;2024-01-11

4. Implication of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning in public health sector of Bangladesh: A scoping review (Preprint);2023-11-20

5. Implications of Big Data Analytics, Artificial Intelligence, Machine Learning, and Deep Learning in the healthcare System of Bangladesh: A scoping review (Preprint);Journal of Medical Internet Research;2023-11-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3