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The 'epiR' R Package

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Your rating: None Average: 2.4 (7 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.

Homepage: 
http://cran.r-project.org/web/packages/epiR/

php Easy Survey Package (phpESP)

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Your rating: None Average: 3.2 (14 votes)

phpESP is a collection of PHP scripts to let non-technical users create surveys, administer surveys, gather results, view statistics. All managed online after database initialization.

Homepage: 
http://sourceforge.net/projects/phpesp/

The 'medAdherence' R Package

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Your rating: None Average: 2 (2 votes)

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).

Homepage: 
http://cran.r-project.org/web/packages/medAdherence/

The R Project for Statistical Computing

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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."

Homepage: 
http://www.r-project.org/

ESP

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Your rating: None Average: 3 (2 votes)

The Electronic medical record Support for Public health (ESP) project is an automated software application, that analyzes electronic medical record (EMR) data, to identify and report conditions of interest to public health and other agencies.

Homepage: 
http://esphealth.org/

The 'epitools' R Package

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Your rating: None Average: 4.8 (4 votes)

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

Homepage: 
http://www.medepi.com/?q=epitools

Bioconductor

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Bioconductor is an open source, open development software project to provide tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language.

The Bioconductor release version is updated twice each year, and is appropriate for most users. There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.

Homepage: 
http://www.bioconductor.org/

ACHILLES

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ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.

ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.

Homepage: 
http://www.ohdsi.org/analytic-tools/achilles-for-data-characterization/

Tolven Health Record

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Your rating: None Average: 4 (5 votes)

The Tolven platform and ePHR and eCHR applications enable interoperability across electronic health records for consumers and clinicians. Using Java, EJB3, Faces, Facelets, AJAX, relational database, and LDAP for security.

Homepage: 
http://www.tolven.org/

popHealth

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Your rating: None Average: 2.3 (3 votes)

popHealth is a prototype open source tool that automates population health reporting. popHealth integrates with a provider’s electronic health record (EHR) system to produce summary quality measures on the provider’s patient population and streamlines the reporting of these measures.

Homepage: 
http://projectpophealth.org/

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