project . 2013 - 2016 . Closed

SAMS - Software Architecture for Mental health Self management

UK Research and Innovation
  • Funder: UK Research and InnovationProject code: EP/K015796/1
  • Funded under: EPSRC Funder Contribution: 248,496 GBP
  • Status: Closed
  • Start Date
    31 Mar 2013
    End Date
    29 Sep 2016
Description
SAMS is a proposed 3-year project to that will investigate the potential for novel data and text mining techniques for detecting subtle signs of Cognitive Dysfunction that may indicate the early stages of Alzheimer's disease. Promoting self-awareness of change in cognitive function is will investigate the potential for novel data and text mining techniques for detecting subtle signs of change in cognition that may indicate the early stages of Alzheimer's disease. Promoting self-awareness of change in cognitive function is a key step in encouraging people to self-refer for clinical evaluation. A key motivation for SAMS, therefore, is to provide a non-invasive too...
Description
SAMS is a proposed 3-year project to that will investigate the potential for novel data and text mining techniques for detecting subtle signs of Cognitive Dysfunction that may indicate the early stages of Alzheimer's disease. Promoting self-awareness of change in cognitive function is will investigate the potential for novel data and text mining techniques for detecting subtle signs of change in cognition that may indicate the early stages of Alzheimer's disease. Promoting self-awareness of change in cognitive function is a key step in encouraging people to self-refer for clinical evaluation. A key motivation for SAMS, therefore, is to provide a non-invasive too...
Any information missing or wrong?Report an Issue