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
%0 Journal Article
%1 Siddiqui:BI2015
%A Siddiqui, Zaigham Faraz
%A Krempl, Georg
%A Spiliopoulou, Myra
%A Peña, Jose M.
%A Paul, Nuria
%A Maestu, Fernando
%D 2015
%I Springer Berlin Heidelberg
%J Brain Informatics
%K CTB Medical_Mining kmd
%P 1-12
%R 10.1007/s40708-015-0010-6
%T Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)
%U http://link.springer.com/content/pdf/10.1007%2Fs40708-015-0010-6.pdf
%X 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
@article{Siddiqui:BI2015,
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 },
added-at = {2015-03-12T08:52:53.000+0100},
author = {Siddiqui, Zaigham Faraz and Krempl, Georg and Spiliopoulou, Myra and Peña, Jose M. and Paul, Nuria and Maestu, Fernando},
biburl = {https://www.bibsonomy.org/bibtex/2b285e6ff17453d610541b6900df3d7b0/kmd-ovgu},
doi = {10.1007/s40708-015-0010-6},
interhash = {194ce154c10b3bd0f756d9d4e0cbf151},
intrahash = {b285e6ff17453d610541b6900df3d7b0},
issn = {2198-4018},
journal = {Brain Informatics},
keywords = {CTB Medical_Mining kmd},
language = {English},
pages = {1-12},
publisher = {Springer Berlin Heidelberg},
timestamp = {2015-03-12T11:11:41.000+0100},
title = {Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)},
url = {http://link.springer.com/content/pdf/10.1007%2Fs40708-015-0010-6.pdf},
year = 2015
}