You are here

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: 2.7 (3 votes)

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."

EEG-Holter

Rating: 
No votes yet

EEG-Holter is designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files.

Ginkgo CADx

Rating: 
Your rating: None Average: 3.8 (6 votes)

Ginkgo CADx project started in 2009 with the aim to create an interactive, universal, homogeneous, open-source and cross-platform CADX environment.

Ginkgo is built over a huge amount of advanced technologies providing full abstraction of complex tasks as:

The 'epitools' R Package

Rating: 
Your rating: None Average: 4.8 (4 votes)

"epitools (epidemiology tools) is an R package for epidemiologic computing and graphics."

The 'surveillance' R Package

Rating: 
Your rating: None Average: 5 (2 votes)

The R-package ’surveillance’ is a framework for the development and the evaluation of outbreak detection algorithms in univariate and multivariate routine collected public health surveillance data. Hence, potential users are biostatisticians, epidemiologists and others working in applied infectious disease epidemiology. However, applications could just as well originate from environmetrics, reliability engineering, econometrics or social sciences.

MIView

Rating: 
Your rating: None Average: 2.1 (7 votes)

MIView is an OpenGL based medical image viewer that contains useful tools such as a DICOM anonymizer and format conversion utility. MIView can read DICOM, Analyze/Nifti, and raster images, and can write Analyze/Nifti and raster images. It can also read and convert DICOM mosaic images. The main goal of MIView is to provide a platform to load any type of medical image and be able to view and manipulate the image. Volume rendering is the main type of advanced visualization that I'm trying to implement.

ImageJ

Rating: 
Your rating: None Average: 3.5 (11 votes)

ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.4 or later virtual machine. Downloadable distributions are available for Windows, Mac OS, Mac OS X and Linux.

Epigrass

Rating: 
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

Rating: 
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.

The 'DiagnosisMed' R Package

Rating: 
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.

Pages