Big Data Analytics for Understanding and Fighting COVID-19
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-8534-0_17
Reference67 articles.
1. Lu, R., Zhao, X., Li, J., Niu, P., Yang, B., Wu, H., et al. (2020). Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet, 565–574. https://doi.org/10.1016/s0140-6736(20)30251-8.
2. Woo, P. C. Y., Huang, Y., Lau, S. K. P., & Yuen, K.-Y. (2010). Coronavirus genomics and bioinformatics analysis. Viruses 1804–1820. https://doi.org/10.3390/v2081803.
3. Wang, Y., Kang, H., Liu, X., & Tong, Z. (2020). Combination of RT‐qPCR testing and clinical features for diagnosis of COVID‐19 facilitates management of SARS‐CoV‐2 outbreak’, Journal of Medical Virology, pp. 538–539. https://doi.org/10.1002/jmv.25721.
4. Wang, C. J., et al. (2020). Response to COVID-19 in Taiwan. JAMA, 1341. https://doi.org/10.1001/jama.2020.3151.
5. Kupferschmidt, K. (2020). Genome analyses help track coronavirus’ moves. Science, 367(6483), 1176–1177. https://doi.org/10.1126/science.367.6483.1176.
Cited by 6 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. AI-Enabled Data-Driven Approaches for Personalized Medicine and Healthcare Analytics;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04
2. New Smart Optimal Transition Molecules Structure Approach from Discrete to Continuous Based on Three-Dimensional Analysis Method;Lecture Notes in Networks and Systems;2024
3. A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis;New Generation Computing;2023-03-16
4. Artificial Intelligence (AI) and Big Data Analytics for the COVID-19 Pandemic;Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis;2021-12-14
5. The relationship between public attention and COVID-19: evidence from the big data analysis of Google trends;Applied Economics Letters;2021-06-30
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