Health Data Science

Research on Health Data Science includes the study of health data acquisition, health data analysis, and the application of health big data. It aims to assist clinical researchers in analyzing, diagnosing, and even predicting certain typical diseases, thereby improving the scientific validity and diagnostic accuracy of disease diagnosis. It can also help users understand their own health status, guide their exercise, diet, and other lifestyle habits, and provide decision information support for personal and family-related decisions concerning health.

Health Information Behavior

Research on Health Information Behavior includes the study of health information needs, health information search behavior, health information dissemination behavior, and health information literacy. By analyzing users' unique health information needs and understanding their level of health information literacy, personalized search results for health information can be provided based on users' individual health conditions and preferences. This improves the efficiency of users' health information search behavior. Furthermore, considering the characteristics of diverse interactions, rich channels, real-time nature, and privacy in the internet era, it aims to regulate the process of health information dissemination and provide a favorable environment for the dissemination of reliable health information.

Smart Aging

Research on Smart Aging includes the development of policies and standards for smart aging, as well as the physiological and psychological needs of the elderly. The elderly population possesses unique health data and behaviors. By understanding the physiological and psychological needs of the elderly, it explores suitable smart aging models for the elderly in China and provides reference for the formulation of policies and standards related to smart aging.