Survival analysis of breast cancer patients using machine learning models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14989-8.pdf
Reference42 articles.
1. Abbass F, Bennis S, Znati K, Akasbi Y, Amrani JK, El Mesbahi O, Amarti M (2011) Epidemiological and biologic profile of breast cancer in fez-Boulemane, Morocco. EMHJ East Mediterr Health J 17(12):930–936 https://apps.who.int/iris/handle/10665/118224
2. Adeoye J, Hui L, Koohi-Moghadam M, Tan JY, Choi SW, Thomson P (2022) Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int J Med Inform 157:104635. https://doi.org/10.1016/j.ijmedinf.2021.104635
3. Arya N, Saha S (2021) Multi-modal advanced deep learning architectures for breast cancer survival prediction. Knowl-Based Syst 221:106965. https://doi.org/10.1016/j.knosys.2021.106965
4. Asif HM, Sultana S, Akhtar N, Rehman JU, Rehman RU (2014) Prevalence, risk factors and disease knowledge of breast cancer in Pakistan. Asian Pac J Cancer Prev 15(11):4411–4416. https://doi.org/10.7314/APJCP.2014.15.11.4411
5. Atallah DM, Badawy M, El-Sayed A, Ghoneim MA (2019) Predicting kidney transplantation outcome based on hybrid feature selection and KNN classifier. Multimed Tools Appl 78(14):20383–20407. https://doi.org/10.1007/s11042-019-7370-5
Cited by 2 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. Survival analysis in breast cancer: evaluating ensemble learning techniques for prediction;PeerJ Computer Science;2024-07-10
2. Survival Prediction of Patients after Heart Attack and Breast Cancer Surgery with a Hybrid Model Built with Particle Swarm Optimization, Stacked AutoEncoders, and the Softmax Classifier;Biomimetics;2024-05-19
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