Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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GastrOS is an endoscopic reporting software based on open standards: openEHR and MST. Built upon stable reference model & driven in runtime by Archetypes. It is part of our research at the University of Auckland to study maintainability & interoperability.
- Uses openEHR Archetypes and Templates
- Based on the international standard terminology - MST
- Dynamic GUI creation and data binding
- Can create endoscopy reports
- Can be extended by modifying the model - no coding
The openCDMS project is a community effort to develop a robust, commercial-grade, full-featured and open source clinical data management system for studies and trials. The philosophy behind openCDMS is to enable clinical researchers to manage the full life cycle of their clinical research project, from design through to archiving, without any specialist knowledge of databases or IT systems.
openCDMS provides purpose built visual tools the enable clinical researchers to design, develop, implement, and manage large scale, multi-centre studies and trials quickly and easily.