Development of a prognostic model for mortality in COVID-19 infection using machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pathology and Forensic Medicine
Link
https://www.nature.com/articles/s41379-020-00700-x.pdf
Reference38 articles.
1. Johns Hopkins University & Medicine. Johns Hopkins Coronavirus Resource Center. 2020. https://coronavirus.jhu.edu/.
2. Wang L. C-reactive protein levels in the early stage of COVID-19. Med Mal Infect. 2020. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146693/.
3. Tan C, Huang Y, Shi F, Tan K, Ma Q, Chen Y, et al. C-reactive protein correlates with computed tomographic findings and predicts severe COVID-19 early. J Med Virol. 2020;92:856–62.
4. Shoenfeld Y. Corona (COVID-19) time musings: our involvement in COVID-19 pathogenesis, diagnosis, treatment and vaccine planning. Autoimmun Rev. 2020;19:102538.
5. Zhou B, She J, Wang Y, Ma X. Utility of ferritin, procalcitonin, and c-reactive protein in severe patients with 2019 novel coronavirus disease. 2020. https://www.researchsquare.com/article/rs-18079/v1.
Cited by 128 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 algorithms to predict mild cognitive impairment in older adults in China: A cross-sectional study;Journal of Affective Disorders;2024-09
2. Identifying factors related to mortality of hospitalized COVID-19 patients using machine learning methods;Heliyon;2024-08
3. An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology;Engineering Applications of Artificial Intelligence;2024-07
4. Collective Intelligence for Preventing Pandemic Crises: A Model-Centralized Organizational Framework;IEEE Systems, Man, and Cybernetics Magazine;2024-07
5. A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19;BioTech;2024-07-01
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