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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MEDILIG – Medical Life Guard: An EHR, EMR cross-platform software for the design, implementation and use of autonomous, open, database models for multilingual medical knowledge management systems from primary care to continuing care.
Medscribbler Community is a fully implemented electronic medical record that allows for embedded and direct handwriting, as well as handwriting recognition on a Tablet PC.
For Medscribbler speed using a Tablet PC is the primary consideration, by allowing various input options: handwriting for standing by the exam table, handwriting conversion for quick entry of information for broader review, keyboard for sit down situations and voice recognition for those who like to dictate.
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
OpenEyes is a collaborative, open source, project led by Moorfields Eye Hospital. The goal is to produce a framework which will allow the rapid, and continuous development of electronic patient records (EPR) with contributions from Hospitals, Institutions, Academic departments, Companies, and Individuals.
The initial focus is on Ophthalmology, but the design is sufficiently flexible to be used for any clinical specialty.