Development of a System based on Ontologies and Machine Learning Methods to Support the Early Detection of MCI

The Alzheimer disease (AD) is the neurodegenerative disease with the highest incidence in our society. The Mild Cognitive Impairment (MCI) is a first stage in the development of AD, so its early detection would allow an early treatment of it.
One of the methods used in the early detection of AD are the neuropsychological tests, which have the advantage of being non-invasive, versatile and low cost.

Phd supervisor: Rafael Martínez Tomas