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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.
The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.
ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.
ADDIS comes with two built-in examples:
XML Validation Framework and Canonical XML dictionary-based exchange assembly - OASIS CAM
The OASIS CAM toolkit provides a suite of tools for XML Validation and XML Exchange design and assembly from canonical XML dictionary components.
Included in the toolkit is an XML Editor/Validation/Schema Designer along with the CAMV runtime XML validation engine.
The project implements the OASIS CAM standard & NIEM IEPD approach. The visual editor allows design of exchange structures using XML components dictionaries.
To lower the barrier to integration and expedite health care interoperability, Open Health Tools provides client side implementations of several key IHE profiles. These implementations were used successfully by over 35 systems to date at the 2007-2010 Connectathons in North America and Europe.
The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.
The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.
The Net4Care framework helps in this by providing:
MRIdb is an end-to-end data management system for MRI, combining the DCM4CHEE DICOM server with a bespoke front-end packaged into an easily deployable virtual machine. It interfaces directly with MRI scanners and handles image storage, retrieval and export. It provides role-based access control, patient-study assignment, and extensive auditing. MRIdb is the result of an ongoing collaboration between the BSS and the Imaging Sciences Department of Imperial College.
In the last 20 years, researchers have investigated solutions to enable seamless access to online resources within the context of electronic health record (EHR) systems. “Infobuttons” are among these solutions. Based on contextual attributes that describe the EHR user, the patient, and the care setting, infobuttons anticipate clinicians’ information needs and provide automated links to a set of relevant knowledge resources to assist clinical decision support.
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:
Opereffa stands for openEHR REFerence Framework and Application. It is a project for creating an open source clinical application which will be driven by the Clinical Review Board of openEHR. The clinical application will be built on top of a Java based open source framework, which is using the existing open source Java reference implementation of openEHR.
This web site contains information about the project, source code and binaries, and finally a demonstration of the current state of Opereffa.
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