Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review

Published:2021-10 Issue: Volume:154 Page:104557
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Adeoye John^ORCID,Tan Jia Yan,Choi Siu-Wai^ORCID,Thomson Peter

Publisher

Elsevier BV

Subject

Health Informatics

Reference64 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J. Clin.,2018

2. Global epidemiology of oral and oropharyngeal cancer;Warnakulasuriya;Oral Oncol.,2009

3. The changing epidemiology of oral cancer: definitions, trends, and risk factors;Conway;Br. Dent. J.,2018

4. Strategies to improve diagnosis and risk assessment for oral cancer patients;Adeoye;Faculty Dental J.,2020

5. Current concepts in management of oral cancer–surgery;Shah;Oral Oncol.,2009

Cited by 48 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. Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review;Journal of Pathology Informatics;2024-12

2. Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review;PLOS ONE;2024-07-24

3. Artificial intelligence in dentistry — A scoping review;Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology;2024-07

4. On the capacity of artificial intelligence techniques and statistical methods to deal with low-quality data in medical supply chain environments;Engineering Applications of Artificial Intelligence;2024-07

5. Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review;International Journal of Medical Informatics;2024-06

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