You are here

Native

Resource and Patient Management System (RPMS)

Rating: 
Your rating: None Average: 3.9 (14 votes)

RPMS is an integrated solution for the management of clinical, business practice and administrative information in healthcare facilities of various sizes. Flexible hardware configurations, over 50 software applications, and appropriate network communication components combine to provide a comprehensive clinical, financial, and administrative solution. This solution is in use at most health care facilities within the Indian health care delivery system.

GNU Gluco Control

Rating: 
Your rating: None Average: 3.7 (3 votes)

GNU Gluco Control (ggc) helps you to manage your diabetes. It helps managing user's daily data, food data. Has graphs, statistics, printing, meters support and pump support (work in progress).

DICOM#

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

DICOM# open source project is intented to provide an OO class library for DICOM communication and will be developed purely by C# and running in .NET environment. DICOM# partially rewrites dcm4che open source project in C#.

Episodus

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

Episodus is an innovative Electronic Health Record (EHR) program. Based on knowledge management technologies, it was designed to tell patient's health (hi)story over time and to organize it as a project manager.

PsychoPy

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

PsychoPy is an open-source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It’s a free, powerful alternative to Presentation™ or e-Prime™ . It’s written in Python (a free alternative to Matlab™ ) and combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package.

The 'medAdherence' R Package

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

Adherence is defined as "the extent to which a person’s behavior coincides with medical or health
advice", which is very important, for both clinical researchers and physicians, to identify the treatment
effect of a specific medication(s).

PixelMed Java DICOM Toolkit

Rating: 
Your rating: None Average: 3.6 (15 votes)

PixelMed Java DICOM Toolkit is a stand-alone DICOM toolkit that implements code for reading and creating DICOM data, DICOM network and file support, a database of DICOM objects, support for display of directories, images, reports and spectra, and DICOM object validation.

The toolkit is a completely new implementation, which does not depend on any other DICOM tools, commercial or free. It does make use of other freely available pure Java tools for compression and XML and database support.

Gwyddion

Rating: 
No votes yet

Gwyddion is a modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM), however it can be generally used for any other height field and image analysis, for instance for analysis of profilometry data.

It aims to provide multiplatform modular program for 2D data analysis that could be easily extended by modules and plug-ins.

The 'epiR' R Package

Rating: 
Your rating: None Average: 2.2 (5 votes)

A package for analysing epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.

The 'epicalc' R Package

Rating: 
Your rating: None Average: 5 (3 votes)

Functions making R easy for epidemiological calculation.

Datasets from Dbase (.dbf), Stata (.dta), SPSS(.sav), EpiInfo(.rec) and Comma separated value (.csv) formats as well as R data frames can be processed to do make several epidemiological calculations.

Pages

Subscribe to Native