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A collaboration tool based on SNOCAP-HET.
Martin Kohlmann1, Matthias Gietzelt, Nico Jähne-Raden
1Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Braunschweig, Germany, martin.kohlmann@plri.de.
This study introduces a semantic collaboration tool prototype to help select appropriate analysis methods for health-enabling technologies and ambient assisted living. The tool, based on SNOCAP-HET, aims to improve decision support in biomedical informatics.
Area of Science:
- Biomedical Informatics
- Health-Enabling Technologies
- Ambient Assisted Living
Background:
- A wide range of analysis methods are used in health-enabling technologies and ambient assisted living.
- There is a lack of structured methods and decision support tools for selecting appropriate analysis methods for specific contexts and problems.
Purpose of the Study:
- To present a prototype of a semantic collaboration tool.
- To serve as a foundational step towards a decision support system for the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET).
Main Methods:
- Development of a semantic collaboration tool prototype.
- Modeling and selection processes for the tool based on SNOCAP-HET.
Main Results:
- A prototype tool has been developed.
- The tool aims to structure and aid in the selection of analysis methods within SNOCAP-HET.
Conclusions:
- The developed tool is a first step towards a decision support system for SNOCAP-HET.
- Further research and development are needed to optimize the tool and SNOCAP-HET.
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