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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The IHE Cross Enterprise Document Sharing (XDS.b) integration profile facilitates the registration, distribution and access across health enterprises of patient electronic health records. XDS.b is focused on providing a standards-based specification for managing the sharing of medical summary documents between any healthcare enterprise, ranging from a private physician office to a clinic to an acute care in-patient facility.
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.
Mirth is an open source cross-platform HL7 interface engine that enables bi-directional sending of HL7 messages between systems and applications over multiple transports. It is divided in three subprojects:
- Mirth Connect: Specifically designed for HL7 message integration, Mirth Connect provides the necessary tools for developing, testing, deploying, and monitoring interfaces.
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.