@inproceedings{PB-VRVis-2019-026,
author = {Bernold, Georg and Matkovi{\'c}, Kresimir and Gr{\"o}ller, Eduard and Raidou, Renata Georgia},
title = {preha: Establishing Precision Rehabilitation with Visual Analytics},
year = {2019},
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Kozl{\'{\i}}kov{\'a}, Barbora and Linsen, Lars and V{\'a}zquez, Pere-Pau and Lawonn, Kai
  and Raidou, Renata Georgia},
doi = {10.2312/vcbm.20191234},
url = {https://www.vrvis.at/publications/PB-VRVis-2019-026},
publisher = {The Eurographics Association},
isbn = {978-3-03868-081-9},
abstract = {This design study paper describes preha, a novel visual analytics  application in the field of in-patient rehabilitation. We  conducted extensive interviews with the intended users, i.e.,  engineers and clinical rehabilitation experts, to determine  specific requirements of their analytical process.We identified  nine tasks, for which suitable solutions have been designed and  developed in the flexible environment of kibana. Our application  is used to analyze existing rehabilitation data from a large  cohort of 46,000 patients, and it is the first integrated  solution of its kind. It incorporates functionalities for data  preprocessing (profiling, wrangling and cleansing), storage,  visualization, and predictive analysis on the basis of  retrospective outcomes. A positive feedback from the first  evaluation with domain experts indicates the usefulness of the  newly proposed approach and represents a solid foundation for  the introduction of visual analytics to the rehabilitation  domain.},
}