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IHE open source

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This project holds an implementation of the Cross-Enterprise Document Sharing (XDS) profile as defined by IHE (ihe.net). It includes implementations of both the Document Registry and Document Repository actors.

The project is deployed at the XDS Public Registry Test Facility of the National Institute of Standards and Technology (NIST).

Net4Care

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The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.

The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.

The Net4Care framework helps in this by providing:

ImageJ

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Your rating: None Average: 3.4 (14 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.

Perl HL7 Toolkit

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This project provides a simple but flexible Perl Toolkit for using the HL7 protocol. The toolkit consists of a Perl API, an implementation of a pluggable forking HL7 server, and an HL7 message queue daemon for developing HL7 capable applications in Perl.

Snofyre

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Snofyre is an open source, service oriented API for creating SNOMED CT enabled applications in Java. It provides a number of SNOMED CT related services out of the box. These services can be used:

  • as a starter for understanding how to add SNOMED CT functionality to an application.
  • to rapidly prototype a SNOMED CT enabled application.

Snofyre API aims to

  • reduce the 'ramp up' time needed to understand
  • and embed SNOMED CT functionality in an application.

Ruby HL7

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Your rating: None Average: 2.4 (5 votes)

Ruby HL7 is a simple library for parsing and generating HL7 2.x messages. 3.x support is planned in the future.

PyEEG

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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.

Dataserver

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"DataServer is an open source XML gateway, specially tailored for the medical domain. DataServer is middleware, situated between clients and traditional Health Information Systems (HIS), Radiology Information Systems (RIS) and Picture Archive and Communication Systems (PACS). It supports relational (SQL), SOAP, and HTTP data sources out of the box, but is highly extensible for custom types."

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.

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