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Mayam

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Your rating: None Average: 2 (10 votes)

A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:

  • DICOM Listener for Q/R
  • DICOM Send
  • Local DB for storing study information
  • Importing DICOM studies from local disk
  • Parsing DicomDir from local disk or CD
  • Query compressed studies without decompressing them
  • Multiple Studies viewer using Layout,Tab view

CDMEDIC PACS WEB

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Your rating: None Average: 3.8 (16 votes)

Full featured free PACS based on ctn or dcm4chee, dcmtk and mysql, with remote accessiom using apache and perl available for Linux in Debian packaging format for i386, amd64 and Mac OS darwin i386 and ppc.

PyEEG

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Your rating: None Average: 2 (4 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.

Real-time Outbreak and Disease Surveillance (RODS)

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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."

Epigrass

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Your rating: None Average: 2.7 (3 votes)

Epigrass is a open-source simulation platform created to study epidemics and their spatial (geographic) dinamics.

Epigrass was developed as a scientific project, by the founders of Metamodellers at the Oswaldo Cruz Foundation. Currently, Metamodellers is the main maintainer of the code, ensuring its continuous improvement while remaining a completely free tool.

WEKA

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Your rating: None Average: 2.7 (3 votes)

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.

REMITT

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Your rating: None Average: 5 (1 vote)

REMITT is a revolutionary medical information translation and transmission system, which is primarily used for preparing and submitting medical billing data.

REMITT works independent of any specific electronic medical record (EMR) or practice management (PM) system, and can interface with any EMR or PM system which implements its application programming interface (API). The first system to do so has been FreeMED.

Currently Supported Formats

  • HCFA-1500/CRM-1500
  • ANSI NSF X12 837 Professional

Currently Supported Output Types

The 'DiagnosisMed' R Package

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Your rating: None Average: 4 (2 votes)

DiagnosisMed is a package to analyze data from diagnostic test accuracy evaluating health conditions. It is being built to be used by health professionals. This package is able to estimate sensitivity and specificity from categorical and continuous test results including some evaluations of indeterminate results, or compare different categorical tests, and estimate reasonble cut-offs of tests and display it in a way commonly used by health professionals. No graphical interface is avalible yet. Partners are most welcome.

Brainstorm

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Your rating: None Average: 1 (18 votes)

Brainstorm is a collaborative open-source Matlab application dedicated to magnetoencephalography (MEG) and electroencephalography(EEG) data visualization, processing and cortical source estimation.
The intention is to make a comprehensive set of tools available to the scientific community involved in MEG/EEG experimental research.
For physicians and researchers, the interest of this software package resides in its rich and intuitive graphic interface, which does not require any programming knowledge.

The 'epi' R Package

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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.

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