title: Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI).
abstract: Predicting the evolution of individuals is a rather new mining task with applications in medicine. Medical researchers are interested in the progression of a disease and/or how do patients evolve or recover when they are subjected to some treatment. In this study, we investigate the problem of patients' evolution on the basis of medical tests before and after treatment after brain trauma: we want to understand to what extend a patient can become similar to a healthy participant. We face two challenges. First, we have less information on healthy participants than on the patients. Second, the values of the medical tests for patients, even after treatment started, remain well-separated from those of healthy people; this is typical for neurodegenerative diseases, but also for further brain impairments. Our approach encompasses methods for modelling patient evolution and for predicting the health improvement of different patients' subpopulations, i.e. prediction of label if they recovered or not. We test our approach on a cohort of patients treated after brain trauma and a corresponding cohort of controls.
authors.affiliation: Research Lab "Knowledge Management and Discovery" (KMD), Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
authors.forename: Zaigham Faraz
authors.initials: ZF
authors.lastname: Siddiqui
authors.affiliation: Research Lab "Knowledge Management and Discovery" (KMD), Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
authors.forename: Georg
authors.initials: G
authors.lastname: Krempl
authors.affiliation: Research Lab "Knowledge Management and Discovery" (KMD), Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany. myra@iti.cs.uni-magdeburg.de.
authors.forename: Myra
authors.initials: M
authors.lastname: Spiliopoulou
authors.affiliation: CeSViMa Supercomputing and Visualization Center, Technical University of Madrid, Madrid, Spain.
authors.forename: Jose M
authors.initials: JM
authors.lastname: Peña
authors.affiliation: Department of Basic Psychology I, Complutense University of Madrid, Madrid, Spain.
authors.forename: Nuria
authors.initials: N
authors.lastname: Paul
authors.affiliation: Center for Biomedical Technology, Complutense and Technical University of Madrid, Madrid, Spain.
authors.forename: Fernando
authors.initials: F
authors.lastname: Maestu
keywords: Clustering; Evolution modelling; Label prediction; Traumatic brain injury