Methods
To achieve and consolidate knowledge in health-enabling technologies, we apply several established methods:
- process modeling
- representation of continuous health data of the individual state of health (e.g. with HL7, CDA and HDF5)
- merging and analysis of health data for sensor-enhanced medical information systems (e.g. classification, decision-trees and spectral analysis)
- prognosis based on data from sensor-enhanced health information systems (e.g. analysis on time series and survival analysis)
- exploratory data analysis (e.g. data-mining)
- automatic knowledge extraction (e.g. knowledge-mining)
- simulation