In 2017, the number of wearable wireless health and fitness devices will hit 169.5 million (90 million wearable fitness devices and 80 million health-focused devices) [ABI Research]. Companies are using sensor technology that allows capture of accurate biometric and physiological data such as heart rate, walking, running, cardiovascular data etc. With the rise of such devices in the market, amount of data being gathered presents an opportunity to provide additional value to the customers. One of the ways in which the customers will see additional value is through identifying any risks that such devices can foretell based on data it gathers on individuals and using other sources. The amount of information people with diabetes need to keep track of can becoming overwhelming. And smarter wearable device and monitoring systems that can interpret health signals can greatly help people by suggesting physical activity plans, dietary programs etc.
This contest focuses on identifying factors and hypothesis pertaining to occurrence and management of “diabetes” based on data gathered from wearable devices.