Powered by OpenAIRE graph
View all 1 versions

Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS), Data Mining (DM)

corporate_fareorganization

Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Information Systems (IS), Data Mining (DM)

2 Projects, page 1 of 1

  • MEGAMIND – Measuring, Gathering, Mining and Integrating Data for Self-management in the Edge of the Electricity System

    assignment_turned_inProject2021 - 9999Partners:Universiteit Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Mathematics of Operations Research (MOR), Stochastic Operations Research (SOR), Tilburg University, Universiteit Twente, TNO Den Haag, Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Electrical Sustainable Energy, Intelligent Electrical Power Grids +8 partners
    Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: P19-25

    -

    more_vert

  • EDIC: Exceptional and Deep Intelligent Coach

    assignment_turned_inProject2019 - 9999Partners: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 +10 partners
    Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: 628.011.021

    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.

    more_vert

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.