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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.

SQL Clinic

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Your rating: None Average: 4 (24 votes)

SQL Clinic 4 is a clinical database/web application for psychiatric providers in the United States.

CARE3G

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Your rating: None Average: 4.2 (35 votes)

CARE3G plans to be the third generation of CARE2X. It doesn't conflicts with CARE2X development and it doesn't intend to be a fork of it but rather its future. We envisage this branch as a big step forward without breaking the current development of Care2X and its current users around the globe.

CARE2X

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Your rating: None Average: 2.6 (58 votes)

Care2x integrates data, functions and workflows in a healthcare environment. It is currently composed of four major components. Each of these components can also function individually.

  • HIS - Hospital/Healthservice Information System
  • PM - Practice (GP) management
  • CDS - Central Data Server
  • HXP - Health Xchange Protocol

Dcm4che

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Your rating: None Average: 4.1 (23 votes)

dcm4che is a collection of open source applications and utilities for the healthcare enterprise. These applications have been developed in the Java programming language for performance and portability, supporting deployment on JDK 1.4 and up.

At the core of the dcm4che project is a robust implementation of the DICOM standard. The dcm4che-1.x DICOM toolkit is used in many production applications across the world, while the current (2.x) version of the toolkit has been re-architected for high performance and flexibility.

OpenEyes

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Your rating: None Average: 3.7 (6 votes)

OpenEyes is a collaborative, open source, project led by Moorfields Eye Hospital. The goal is to produce a framework which will allow the rapid, and continuous development of electronic patient records (EPR) with contributions from Hospitals, Institutions, Academic departments, Companies, and Individuals.
The initial focus is on Ophthalmology, but the design is sufficiently flexible to be used for any clinical specialty.