Efforts in Analyzing Risks and Factors Concerning Lifestyle-related Diseases and Long-term Care

摘要

For a person to continue a healthy life, it is important for him/her to become aware of the risk of illness as soon as possible and take appropriate countermeasures. To help people live a healthy life, NTT is researching and developing technology for predicting disease risk by using machine learning and analyzing the risk factors from data on health-diagnosis results, genomic information, and data obtained from large-scale cohort surveys. Analysis of genomic data targeting lifestyle-related diseases and analysis of cohort-survey data targeting locomotive syndrome (which is attracting attention as a factor requiring long-term care) are introduced in this article.