Data science and precision health care-Reference-Cited by-同舟云学术

Data science and precision health care

Published:2020-11-26 Issue:Supplement_3 Volume:78 Page:53-57
ISSN:0029-6643
Container-title:Nutrition Reviews
language:en
Short-container-title:

Author:

Imoto Seiya¹,Hasegawa Takanori¹,Yamaguchi Rui²

Affiliation:

1. Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan

2. Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Aichi, Japan

Abstract

Abstract Precision health care plays a crucial role in an elderly society by providing personalized health care plans for improving an individual’s health conditions and preventing disease. To realize precision health care, data science is key; it allows for analyses of health-related big data. In this article, an actual analysis of time-series health check-up data is presented and as is a discussion of how personalized simulation models of health conditions are constructed and used to modify individual behavior. Future directions for precision health care based on the integration of genetic variations and the microbiome are also discussed.

Funder

Hirosaki University’s Center of Innovation Program

Japan Science and Technology Agency and a Grant-in-Aid for Young Scientists

Japan Society for the Promotion of Science

Human Genome Center at the Institute of Medical Science

The University of Tokyo

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

Link

http://academic.oup.com/nutritionreviews/article-pdf/78/Supplement_3/53/34674622/nuaa110.pdf