Suppr超能文献

临床研究的高级数据分析 第一部分:有哪些工具?

Advanced Data Analytics for Clinical Research Part I: What are the Tools?

机构信息

4002 Department of Thoracic and Cardiovascular Surgery, University of Texas MD Anderson Cancer Center, Houston, USA.

4002 Institutional Analytics and Informatics, University of Texas MD Anderson Cancer Center, Houston, USA.

出版信息

Innovations (Phila). 2020 Mar/Apr;15(2):114-119. doi: 10.1177/1556984520902783. Epub 2020 Feb 28.

Abstract

The concept of Big Data is changing the way that clinical research can be performed. Cardiothoracic surgeons need to understand the dynamic digital transformation taking place in the healthcare industry. In the last decade, technological advances and Big Data analytics have become powerful tools for businesses. In healthcare, rapid expansion of Big Data infrastructure has occurred in parallel with attempts to reduce cost and improve outcomes. Many hospitals around the country are augmenting traditional relational databases with Big Data infrastructure. Advanced data capture and categorization tools such as natural language processing and optical character recognition are being developed for clinical and research use, while Internet of Things in the form of wearable technology serves as an additional source of data usable for research. As cardiothoracic surgeons seek ways to innovate, novel approaches to data acquisition and analysis enable a more rigorous level of investigatory efforts.

摘要

大数据的概念正在改变临床研究的方式。心胸外科医生需要了解医疗行业正在发生的动态数字化转型。在过去的十年中,技术进步和大数据分析已成为企业的强大工具。在医疗保健领域,大数据基础设施的快速扩展与降低成本和改善成果的尝试并行发生。全国许多医院都在通过大数据基础设施来增强传统的关系型数据库。正在开发用于临床和研究用途的高级数据捕获和分类工具,例如自然语言处理和光学字符识别,而可穿戴技术形式的物联网则是可用于研究的另一个数据源。随着心胸外科医生寻求创新的方法,数据采集和分析的新方法使研究工作更加严谨。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验