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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.
HL7 file viewer, in tree-view format, with associated segment/field documentation. The latest release now includes editing, at all levels in the tree-view, e.g segment, field or component values. Purpose is for testing and bug-tracing HL7 communications.
The National Cancer Institute (NCI) has launched the caBIG initiative to accelerate research discoveries and improve patient outcomes by linking researchers, physicians, and patients throughout the cancer community.
The DHIS 2 is a tool for collection, validation, analysis, and presentation of aggregate statistical data, tailored (but not limited) to integrated health information management activities. It is a generic tool rather than a pre-configured database application, with an open meta-data model and a flexible user interface that allows the user to design the contents of a specific information system without the need for programming. DHIS 2 and upwards is a modular web-based software package built with free and open source Java frameworks.
"According to the homepage: "After nearly 10 years, the openCDMS system..."
posted by holger on openCDMS 6 years 9 months
"For details about the fork see these discussions FreeHealth 7 years 2 months
"Glucosio wins award from Black Duck for top new OSS projects in 2015!
..."
posted by demski on Glucosio 8 years 1 month
"Free D Path in 2014 won an award in the category of ‘best use of IT to..."
posted by demski on Free D Path 9 years 2 months
"AuShadha Open Source EMR has moved to Django 1.7.x
..."
posted by dreaswar on AuShadha 9 years 5 months