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.
You can use the category filters given on the right sidebar to narrow down your search results.
Aurion is an open source health information exchange platform that implements the Nationwide Health Information Network standard services and content specifications. Aurion is the first project chartered through the Alembic Foundation. This software enables the secure exchange of interoperable health information among diverse organizations using a wide variety of technologies.
tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work.
The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART's specific applications include:
HIEOS is an open source implementation of Integrating the Healthcare Enterprise (IHE) Cross Enterprise Document Sharing (XDS.b) and Cross Community Access (XCA) integration profiles.
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.