Risk estimation of developing breast cancer poses as the first prevention method for early diagnosis. Furthermore, data integration from different departments involved in the process plays a key role. In order to guarantee patient safety, the whole process should be orchestrated and monitored automatically. Support for the solution will be a linked data cloud, composed by all the departments that take part in the process, combined with rule engines.
@article{arxiv.1012.1636,
title = {Fundamentals of Semantic Web Technologies in Medical Environments: a case in breast cancer risk estimation},
author = {Iker Huerga and Ainhoa Serna and Jon Kepa Gerrikagoitia},
journal= {arXiv preprint arXiv:1012.1636},
year = {2010}
}
Comments
in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany, December 8-10, 2010