Search Results for "syslog client windows"

Cancer registries need a tool to input, store, check and analyse their data. If these data are also coded and verified in a standard way, it facilitates the production of comparable analyses across registry populations. The main goal of the CanReg5 project is to provide a flexible and easy to use tool to accomplish these objectives. CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data. It has modules to do: data entry,...

Xebra is an open source, cross-platform, thin client and server for web-based distribution and clinical review of medical imaging results. Xebra is based on the latest open industry standards including JPEG2000, WADO and IHE XDS-I.

Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It

GELLO is an ANSI-accredited HL7 standard for creating computable, unambiguous clinical queries. This project creates an open source compiler and client-server IDE. Projects are stored in a subversion repository, and created by the RCP based client.

PING is a distributed, web-based, personally controlled electronic medical record system that is accessible to the nomadic user and built to public standards. The PING project includes a pluggable web services API and numerous client applications.

Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.

Winnow is a graphical application for importing and organising articles from PubMed. It gives access to abstracts, full text and allows references to be saved. It can also predict what a user will find interesting through adaptive filtering.

ArrayCGH DataBase is an effort to distribute Array CGH data between clinical and research groups. It will be platform independent, and will utilize MySQL as it's persistent storage mechanism. A web client may be implemented at some point.