摘要
【目的】生物医学信息学是发展最快的代表性专业信息学之一。梳理生物医学信息学理论体系与最新进展,展望学科未来发展路径尤为重要。【方法】通过文献计量与调研,我们分析了生物医学信息学主要研究内容,并对数据资源体系、数据分析算法与模型、数据分析工具与软件等方面的最新进展进行了详细梳理。【结果】该领域逐渐形成了以大数据资源为基础、以技术为手段、以人才为核心、以应用为导向的学科发展路径,预计这一新的范式将有效支撑生物医学信息学的高速、深入发展。【局限】基于篇幅,一些生物医学数据资源与方法等的分析广度有限。【结论】数据与技术是生物医学信息学发展的两个关键环节,通过本文的梳理与展望,以期为我国生物医学信息学学科完善与发展提供参考。
[Objective]Biomedical informatics is one of the fastest specialized developing disciplines of information sciences.Our review summarizes the latest progress and future development of theoretical systems,platforms,and tools of biomedical informatics.[Methods]This review teases out the development of data resource construction,data analysis algorithms and models,tools,and software in biomedical informatics through bibliometrics and literature research.[Results]It will effectively support the development of biomedical informatics by forming a discipline development path,which is resource-based,technology-supported,talent-centered,and application-oriented.[Limitations]Limited by word count,some biomedical data resources and methods are not thoroughly involved.[Conclusions]Data and technology are key elements in the development of biomedical informatics.We hope to provide a literature review and references for the improvement of biomedical informatics in China.
作者
范少萍
张志强
FAN Shaoping;ZHANG Zhiqiang(Institute of Medical Information&Library,Chinese Academy of Medical Sciences,Beijing 100020,China;Chengdu Library and Information Center,Chinese Academy of Sciences,Chengdu,Sichuan 610041,China;Department of Library,Information and Archives Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《数据与计算发展前沿》
CSCD
2023年第1期41-54,共14页
Frontiers of Data & Computing
基金
国家社会科学基金重点项目“面向领域知识发现的学科信息学理论与应用研究”(17ATQ008)。
关键词
生物医学信息学
知识发现
数据资源
算法与模型
工具与软件
Biomedical Informatics
knowledge discovery
data resource
computing models
algorithms and tools
