量化自我在健康领域的应用——基于大数据的角度

The Application of Quantified Self in Health Field: Based on the Perspective of Big Data

文章从量化自我的发展开始,明确量化自我的内涵,分析了量化自我数据集的大数据本质,进而阐明量化自我数据的处理程序,分析了量化自我数据集在个体健康的全面监测、促进病患的家庭护理、有效提升医疗机构工作效率、促进医疗健康研究发展以及国家健康政策的执行和发展给健康领域带来的价值,指出要加强量化自我应用中的隐私保护。

The paper starts with the development of quantified self, clarifies its connotation, and analyzes the nature of QS （Quantified Self）data. Then expounds the procedures of QS data, analyzes the comprehensive monitoring of it in individual health, promotes home care for patients, effectively improves the efficiency of medical institutions, promotes research and development of health care, and implements and develops health policies for national health, indicating that it is necessary to strengthen the protection of privacy in QS application.