Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

The R Project for Statistical Computing

Rating: 
Your rating: None Average: 5 (1 vote)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R."

Utilities For Patient Data Exchange (UPDE)

Rating: 
Your rating: None Average: 4.5 (2 votes)

Utilities for Patient Data Exchange. A parser for text files to use with some of the utilities provided by the DCMTK from Offis. The purpose is to provide a basic DICOM Modality Worklist Management SCP.

Real-time Outbreak and Disease Surveillance (RODS)

Rating: 
Your rating: None Average: 2.7 (6 votes)

"Real-time Outbreak and Disease Surveillance (RODS) is open-source public health surveillance software. RODS collects and analyzes disease surveillance data in real time and has been in development since 1999 by the RODS Laboratory. In 2002, the Utah Department of Health used the software for monitoring during the Winter Olympics Games. At present, health departments and other groups in the United States, Canada and Taiwan use the software."

Laika

Rating: 
Your rating: None Average: 3.5 (4 votes)

Laika analyzes and reports on the interoperability capabilities of EHR systems. This includes the testing for certification of EHR software products and networks.

To support EHR data interoperability testing, Laika is designed to verify the input and output of EHR data against the standards and criteria identified by the Certification Commission for Health Information Technology (CCHIT). Laika is used by the Certification Commission to perform part of the interoperability certification inspection of EHRs.

XMedCon

Rating: 
Your rating: None Average: 1.3 (6 votes)

The project stands for Medical Image Conversion. Released under the (L)GPL licence, it comes with the full C-source code of the library, a flexible command-line utility and a neat graphical front-end using the Gtk+ toolkit. The supported formats are: Acr/Nema 2.0, Analyze (SPM), Concorde/µPET, DICOM 3.0, CTI ECAT 6/7, NIfTI-1, InterFile3.3 and PNG or Gif87a/89a.

The 'epi' R Package

Rating: 
No votes yet

The Epi package is mainly focused on "classical" chronic disease epidemiology. The package has grown out of the course Statistical Practice in Epidemiology using R.

CONNECT

Rating: 
Your rating: None Average: 1 (1 vote)

CONNECT is an open source software solution that supports health information exchange – both locally and at the national level. CONNECT uses Nationwide Health Information Network (NHIN) standards and governance to make sure that health information exchanges are compatible with other exchanges being set up throughout the country.

JULIDE

Rating: 
No votes yet

JULIDE is a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections.

PyEEG

Rating: 
Your rating: None Average: 2.3 (3 votes)

A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.

Oviyam

Rating: 
Your rating: None Average: 4 (6 votes)

Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).

Oviyam is a free download and is pre-packaged for deployment with JBoss.
The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.

Oviyam is built using the dcm4che toolkit and script.aculo.us framework.

Pages