EDIC: Exceptional and Deep Intelligent Coach
Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science , Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) , Philips Research Eindhoven , Technische Universiteit Eindhoven - Eindhoven University of Technology , Ziekenhuisgroep Twente , Universiteit Twente , Technische Universiteit Eindhoven - Eindhoven University of Technology , Roessingh Concern, Roessingh Research and Development , Ziekenhuisgroep Twente , Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Interdiscipline Creative Technology, Biomedical Signals and Systems (BSS) , Philips Research Eindhoven , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS) , Roessingh Concern , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS), Data Mining (DM)
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Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science , Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) , Philips Research Eindhoven , Technische Universiteit Eindhoven - Eindhoven University of Technology , Ziekenhuisgroep Twente , Universiteit Twente , Technische Universiteit Eindhoven - Eindhoven University of Technology , Roessingh Concern, Roessingh Research and Development , Ziekenhuisgroep Twente , Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Interdiscipline Creative Technology, Biomedical Signals and Systems (BSS) , Philips Research Eindhoven , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS) , Roessingh Concern , Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS), Data Mining (DM)
Our increased life expectancy unfortunately goes hand in hand with an increased number of years living with chronic conditions. These conditions cannot be cured, but both the development of comorbidities and the quality of life are strongly influenced by proper self-management and by deploying a healthy lifestyle. In the EDIC project, we develop a novel data-driven artificial coaching platform that supports chronically ill patients in making optimal lifestyle decisions. We bring in expertise in data mining, telemedicine, e-coaching, behavioral sciences and domain expertise, and particularly focus on the bariatric and diabetes-2 patient population.
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