COVID-19临床相关试验全球分析

M. Rathinasamy, Saritha Kandhasamy
{"title":"COVID-19临床相关试验全球分析","authors":"M. Rathinasamy, Saritha Kandhasamy","doi":"10.5799/jmid.839379","DOIUrl":null,"url":null,"abstract":"Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe. Methods: The most important computational problem for the modeling of topics is using the observed documents to infer the hidden topic structure. The topic model was developed on the basis of data recorded on the WHO International Clinical Trials Registry Platform (ICTRP) between 3 February and 11 August 2020. Results: Show the top 10 topics based on the topic model that has been created. These topics are explored in the reviews and studies of clinical trials related to the development of the COVID-19 vaccine. Conclusion: This study aimed at the clinical trials registered at ICTRP and showed the recorded monthly clinical trials as well as the top 15 countries vying for the COVID-19 vaccine from 3 February to 11 August 2020. Using the dataset of the collected clinical trials, the topic model was developed to examine emerging trends in vaccine progression. J Microbiol Infect Dis 2020; 10(4):xxxxx. Keywords: COVID-19, Clinical trials, Vaccine progression, Emerging topics, Topic model","PeriodicalId":16603,"journal":{"name":"Journal of Microbiology and Infectious Diseases","volume":"60 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Global Analysis of COVID-19 Clinical Related Trials\",\"authors\":\"M. Rathinasamy, Saritha Kandhasamy\",\"doi\":\"10.5799/jmid.839379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe. Methods: The most important computational problem for the modeling of topics is using the observed documents to infer the hidden topic structure. The topic model was developed on the basis of data recorded on the WHO International Clinical Trials Registry Platform (ICTRP) between 3 February and 11 August 2020. Results: Show the top 10 topics based on the topic model that has been created. These topics are explored in the reviews and studies of clinical trials related to the development of the COVID-19 vaccine. Conclusion: This study aimed at the clinical trials registered at ICTRP and showed the recorded monthly clinical trials as well as the top 15 countries vying for the COVID-19 vaccine from 3 February to 11 August 2020. Using the dataset of the collected clinical trials, the topic model was developed to examine emerging trends in vaccine progression. J Microbiol Infect Dis 2020; 10(4):xxxxx. Keywords: COVID-19, Clinical trials, Vaccine progression, Emerging topics, Topic model\",\"PeriodicalId\":16603,\"journal\":{\"name\":\"Journal of Microbiology and Infectious Diseases\",\"volume\":\"60 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Microbiology and Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5799/jmid.839379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Microbiology and Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5799/jmid.839379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

目的:本研究的目的是分析使用主题建模的临床试验,以确定全球新出现的疫苗进展主题。方法:主题建模中最重要的计算问题是利用观察到的文档推断出隐藏的主题结构。该主题模型是根据世卫组织国际临床试验注册平台(ICTRP)在2020年2月3日至8月11日期间记录的数据开发的。结果:显示基于已创建的主题模型的前10个主题。这些主题在与新冠肺炎疫苗开发相关的临床试验综述和研究中进行了探讨。结论:本研究针对在ICTRP注册的临床试验,显示了记录的每月临床试验以及2020年2月3日至8月11日争夺COVID-19疫苗的前15个国家。利用收集的临床试验数据集,开发了主题模型,以检查疫苗进展的新趋势。中华微生物学杂志[J];10 (4): xxxxx。关键词:COVID-19,临床试验,疫苗进展,新兴话题,话题模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Analysis of COVID-19 Clinical Related Trials
Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe. Methods: The most important computational problem for the modeling of topics is using the observed documents to infer the hidden topic structure. The topic model was developed on the basis of data recorded on the WHO International Clinical Trials Registry Platform (ICTRP) between 3 February and 11 August 2020. Results: Show the top 10 topics based on the topic model that has been created. These topics are explored in the reviews and studies of clinical trials related to the development of the COVID-19 vaccine. Conclusion: This study aimed at the clinical trials registered at ICTRP and showed the recorded monthly clinical trials as well as the top 15 countries vying for the COVID-19 vaccine from 3 February to 11 August 2020. Using the dataset of the collected clinical trials, the topic model was developed to examine emerging trends in vaccine progression. J Microbiol Infect Dis 2020; 10(4):xxxxx. Keywords: COVID-19, Clinical trials, Vaccine progression, Emerging topics, Topic model
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信