| Literature DB >> 24346930 |
Martin Kohlmann1, Matthias Gietzelt, Nico Jähne-Raden, Michael Marschollek, Bianying Song, Klaus-Hendrik Wolf, Reinhold Haux.
Abstract
Health enabling technologies and ambient assisted living are important fields in biomedical informatics. In this context, a huge variety of analysis methods are applied. Neither is a suitable structuring of these methods available, nor is an aid known for selecting appropriate methods for a given set of data specifying a context and a problem. The goal of the present paper is to present a prototype of a semantic collaboration tool which is based on the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET). This tool can be seen as a first step towards an assistance system for decision support within SNOCAP-HET. We present aspects of the selection and modeling process of our tool and discuss its benefits and appealing tasks for further research. Moreover we present a number of already planned and some unspecified upcoming steps which should optimize SNOCAP-HET in the future.Entities:
Mesh:
Year: 2013 PMID: 24346930 DOI: 10.1007/s10916-013-9996-6
Source DB: PubMed Journal: J Med Syst ISSN: 0148-5598 Impact factor: 4.460