Fujitsu 2012 Annual Report Download - page 5
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Using big data analysis to predict risk of diabetes with a high degree of accuracy
Fujitsu employees are taking part in an experimental program that
aims to predict the risk of diabetes by analyzing all manner of
health-related data—for example, data from regular health checks,
records of hospital visits and other health insurance claim data, and
vital data, including tracking the number of steps walked and
day-to-day weight fluctuations. Even without medical knowledge,
it is now possible to accurately assess the risk of diabetes by using a
mathematical approach to analyzing such data. The early detection
of precursors for diabetes and other lifestyle-related diseases has
improved the health of Fujitsu employees. In the future, we would
Intelligent Services Business Unit
Intelligent Computing Division
Senior Director
Seishi Okamoto
also like to see this service find widespread use outside of Fujitsu
(for example, in various companies’ health insurance organizations),
leading to improved health for a greater number of people and a
reduction in national healthcare costs.
Broader smartphone uptake and increasingly sophisticated sensor
technologies have made it possible to amass huge volumes of data.
It is now possible to add value to this data via analysis using ICT in
tandem with the knowledge and expertise humans have thus far
cultivated. I find this to be one of the most rewarding and enjoyable
aspects of our work.
HEALTH
CARE
003
FUJITSU LIMITED ANNUAL REPORT 2012