Data investigation

WP 3 - Data structuring and innovative data-driven investigations
We aim at investigating a number of flagship scenarios that examine different facets of hypotheses on multimorbid chronic diseases trajectories.
WP 3 - Data structuring and innovative data-driven investigations

The outcome will be a scalable data processing pipeline and a framework to generate life trajectories and test different hypotheses by overlapping modulators of different origins. This requires the design of an interactive analytics layer on top of the data processing pipeline to provide means for iteratively exploring and refining trajectories at different spatial granularities.

Objectives

  • Constitute secured translational hosting platform and/or interoperability with secure platforms already hosted by project partners
  • Develop analytic tools and algorithms for transdisciplinary data integration
  • Assess geographical mapping based on determinants
  • Exhaustive analysis and visualization of transdisciplinary modulators of disease trajectories interrelationships
  • Disease trajectories in virtual patients and probability to coaching responses
     

Tasks

  • Data processing pipeline
  • Data mining techniques to extract MCD trajectories
  • MCD trajectories of populations in different geographic areas in Europe
  • Disease trajectories in virtual patients
     

Leaders

  • Sihem Amer-Yahia (LIG)
  • Nicolas Vuillerme (AGEIS)
  • Pierre Jallon (LETI)
     

Partners

Initials Full Name
HP2 Hypoxie : Physiopathologie Cardiovasculaire et Respiratoire
LIG Laboratoire d’Informatique de Grenoble
IAB Institut pour l'Avancée des Biosciences
AGEIS Autonomie, Gérontologie, E-santé, Imagerie & Société
LETI Laboratoire d'électronique et de technologie de l'information
CHUGA Centre Hospitalo-Universitaire Grenoble Alpes


Published on April 30, 2018