- formally known as novelty-detection-analysis-system
This repository contains a data analysis software which can be used to detect data anomalies in ICU datasets. It enables the user to run various anomaly detection algorithms on imported patient laboratory data and provides a visualization of the analysis results. For detailed information on how to use this software, please see the documentation folder.
This software is still in development and new features may be added in the future.
This research is part of the medical informatics initiative, in particular the SMITH project and is supported by the German Federal Ministry of Education and Research, grant numbers: 01ZZ1803K.
Code licensed under the GPL License. See ADAS/LICENSE.txt file for terms.
The repository is maintained at the GitLab of the Embedded Software Laboratory and mirrored to a GitHub repository. That means, changes on the GitLab repository are automatically, regulary pushed to the GitHub repository. During this process, the content of the GitHub repository gets overwritten completely, so please don't push any changes into the GitHub repository directly. Otherwise, your work may get lost.