健康数据科学驱动的中西医融合研究

Research on Integration of Chinese and Western Medicine Driven by Health Data Science

中、西医作为两种不同的理论体系,在传统的学科融合研究中较难建立统一的知识与认识体系。随着大数据时代的到来,“健康数据科学”这一新兴交叉学科的蓬勃发展为变革中西医融合研究范式提供了新的契机。本文从数据密集型科学研究范式,健康数据科学、环境健康和中西医结合医学的跨学科背景出发,在宏观视角下运用“三因制宜”的观点,论述多疾病谱与多维度数据驱动的知识发现问题,为推动中西医结合的理论发展与知识融合提供新模式与新途径,也为健康数据科学在医学中的应用提供可推广范例。

Traditional Chinese medicine(TCM)and western medicine are two different theoretical systems,and it’s difficult to establish a unified system of knowledge and cognition between them.With the advent of the big data era,a novel cross-disciplinary-health data science emerges and provides an opportunity to reform the research paradigm of the integration of TCM and western medicine.This paper briefly introduced the interdisciplinary background of health data science,including the data-intensive scientific paradigm,health data science,environmental health,and integrative medicine.Moreover,we applied the“Three Categories of Etiological Factors System”perspective of TCM to discuss the multi-disease spectrum perspective and multi-dimensional data-driven knowledge discovery paradigm.We aim to provide a new model and a new way to promote the theoretical development and knowledge integration of integrated Chinese and western medicine.In addition,it provides a generalizable example for the application of health data science in medicine.