COGNITIO
COGNITIO

COGNITIO
COGNITIO
 : 
Case-Based Reasoning for the optimization of cognitive rehabilitation on TBI
Case-Based Reasoning for the optimization of cognitive rehabilitation on TBI

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Universidad Politécnica de Madrid, Fundació Privada Institut de Neurorehabilitació Guttmann
Universidad Politécnica de Madrid, Fundació Privada Institut de Neurorehabilitació Guttmann

Funding entity:

TIN2012-38450- C03-03
TIN2012-38450- C03-03

Funding call:

Funding call URL:

Project #:

COGNITIO
COGNITIO

Funding amount:

0,00€
0,00€

Duration:

2013-01-01
2013-01-01
2015-12-31
2015-12-31

Extension date:

Acquired Brain Injury (ABI) constitutes a major and increasing social and healthcare concern of high diagnostic and therapeutic complexity. Its incidence and survival rate after the initial critical phases makes it a prevalent problem that needs to be addressed. ABI patients frequently suffer from a series of cognitive disorders related to memory, attention, language, or executive functions. Cognitive rehabilitation aims to reduce the impact of the disabling conditions in order to reduce functional limitations and increase patient's autonomy. For the rehabilitation process to be more effective, treatments must be intensive, personalized to the patient's condition and evidence-based; and require constant monitoring. The main goal of the IIIA team is the research on new machine learning/CBR techniques able to propose and revise personalized therapies in real-time.
Acquired Brain Injury (ABI) constitutes a major and increasing social and healthcare concern of high diagnostic and therapeutic complexity. Its incidence and survival rate after the initial critical phases makes it a prevalent problem that needs to be addressed. ABI patients frequently suffer from a series of cognitive disorders related to memory, attention, language, or executive functions. Cognitive rehabilitation aims to reduce the impact of the disabling conditions in order to reduce functional limitations and increase patient's autonomy. For the rehabilitation process to be more effective, treatments must be intensive, personalized to the patient's condition and evidence-based; and require constant monitoring. The main goal of the IIIA team is the research on new machine learning/CBR techniques able to propose and revise personalized therapies in real-time.
2016
Joan Serrà,  & Josep Lluis Arcos (2016). Particle Swarm Optimization for Time Series Motif Discovery. Knowledge-Based Systems, 92, 127-137. https://doi.org/doi:10.1016/j.knosys.2015.10.021. [BibTeX]
Joan Serrà,  Isabel Serra,  Álvaro Corral,  & Josep Lluis Arcos (2016). Ranking and significance of variable-length similarity-based time series motifs. Expert Systems with Applications, Elsevier, 55, 452-460. https://doi.org/http://dx.doi.org/10.1016/j.eswa.2016.02.026. [BibTeX]
2015
Eva Armengol,  & Josep Puyol-Gruart (2015). A Simple Experiment to Guide the Design of a Preference Model. E. Armengol, D. Boixader, & F. Grimaldo (Eds.), Artificial Intelligence Research and Development, Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence (pp 59-68). IOS Press. https://doi.org/http://www.iospress.nl/book/artificial-intelligence-research-and-development-12/. [BibTeX]  [PDF]
2014
Joan Serrà,  & Josep Lluis Arcos (2014). An empirical evaluation of similarity measures for time series classification. Knowledge-Based Systems, 67, 305-314. https://doi.org/http://www.sciencedirect.com/science/article/pii/S0950705114001658. [BibTeX]  [PDF]
2013
Joan Serrà,  Josep Lluis Arcos,  Alejandro Garcia-Rudolph,  Alberto García-Molina,  Teresa Roig,  & Josep Maria Tormos (2013). Cognitive prognosis of acquired brain injury patients using machine learning techniques. Int. Conf. on Advanced Cognitive Technologies and Applications (COGNITIVE) (pp. 108-113). IARIA. [BibTeX]  [PDF]
Enric Plaza
Research Professor
Phone Ext. 215

Eva Armengol
Tenured Scientist
Phone Ext. 226

Josep Lluís Arcos
Scientific Researcher
Phone Ext. 227

Marc Serramià Amorós
PhD Student
Phone Ext. 201

Ramon Lopez de Mantaras
Research Professor
Phone Ext. 258