Using case-level context to classify cancer pathology reports-Reference-Cited by-同舟云学术

Using case-level context to classify cancer pathology reports

Published:2020-05-12 Issue:5 Volume:15 Page:e0232840
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Gao Shang^ORCID,Alawad Mohammed^ORCID,Schaefferkoetter Noah,Penberthy Lynne,Wu Xiao-Cheng,Durbin Eric B.^ORCID,Coyle Linda,Ramanathan Arvind^ORCID,Tourassi Georgia

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. The Office of the National Coordinator for Health Information Technology. Health IT Dashboard Quick Stats; 2017. https://dashboard.healthit.gov/quickstats.

2. Benefits and drawbacks of electronic health record systems;N Menachemi;Risk Management and Healthcare Policy,2011

3. Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health;GS Birkhead;Annual Review of Public Health,2015

4. Learning from heterogeneous temporal data in electronic health records;J Zhao;Journal of Biomedical Informatics,2017

5. Analysis of free text in electronic health records for identification of cancer patient trajectories;K Jensen;Scientific Reports,2017

Cited by 14 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. Machine learning and deep learning tools for the automated capture of cancer surveillance data;JNCI Monographs;2024-08-01

2. Deep learning uncertainty quantification for clinical text classification;Journal of Biomedical Informatics;2024-01

3. Quantitative feature extraction of unstructured data from GitLab BioAI pathology reports of cancer using an enhanced RPA NLP method;Journal of Intelligent & Fuzzy Systems;2023-10-04

4. Annual Report to the Nation on the Status of Cancer, part 2: Early assessment of the COVID‐19 pandemic’s impact on cancer diagnosis;Cancer;2023-09-27

5. FrESCO: Framework for Exploring Scalable Computational Oncology;Journal of Open Source Software;2023-09-11