Preventive Medicine System in Django

ICT technologies for healthcare are useful in myriad locations for people with lifestyle-related illnesses and health irregularities. When symptoms turn into actual illnesses, it is difficult for them to be managed, and this situation is relevant for managing the health of victims after large-scale disasters; it is important to keep people healthy to prevent them from acquiring illness. This paper proposes a system of personalized preventive medicine for individuals to maintain their health and receive evidence-based feedback. We introduce general medical checkups, ubiquitous sensing, and plasma amino acid analysis as the system's core components. We evaluate these elements and discuss their applicability toward the disaster-stricken Tohoku area of Japan. This is an initial evaluation, but some functions are being used in the area. There are gaps between research results and actually deployable technologies, but it is important to use and improve the quality of life of victims who are ultimately forced to live in temporary housing for more than five years.