大型队列研究中的数据科学

Data science in large cohort studies

大型队列研究作为生物医学研究的宝贵资源,在揭示疾病的病因、发病机制,改善疾病预后,减轻疾病负担等方面显示了巨大的作用。数据科学是一门新型的交叉学科,它采用计算机科学和统计学方法与特定专业领域相结合,发现数据背后的规律和知识。两者的结合为我国疾病防治策略和措施的制定提供新的证据。本文介绍了数据科学的基本概念,并结合大型队列研究的特点和发展趋势,分析队列研究数据的内容和结构特点,探讨了数据科学在大型人群队列的不同研究阶段的应用和价值,以及数据科学在大型队列研究中的应用前景。

Large cohort study gained its popularity in biomedical research and demonstrated its application in exploring disease etiology and pathogenesis,improving the prognosis of disease,as well as reducing the burden of diseases.Data science is an interdisciplinary field that uses scientific methods from computer science and statistics to extract insights or knowledge from data in a specific domain.The results from the combination of the two would provide new evidence for developing the strategies and measures on disease prevention and control.This review included a brief introduction of data science,descriptions on characteristics of large cohort data according to the development of the study design,and application of data science at each stage of a large cohort study,as well as prospected the application of data science in the future large cohort studies.