Data Driven Decision Making from Remote Health Monitoring to Venture Prediction
Health systems face an increasing demand on resources, as the world’s population ages. Technology in the form of sensor-based remote monitoring systems has emerged as a viable option to mitigate this asymmetry between supply and demand enabling vulnerable individuals to live at home safely and independently. We will present novel data driven systems for sensor based human activity recognition, chronic disease monitoring as well as health risk assessment.
The advance of analytics methods provides a means to contextualise and aggregate data from disparate devices in a meaningful manner.
In this presentation, we will also discuss applications across a number of domains including the exciting area of data driven evaluation of startup
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