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WEKA

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Your rating: None Average: 3 (2 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.

MRIdb: Medical imaging database

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Your rating: None Average: 4.3 (13 votes)

MRIdb is an end-to-end data management system for MRI, combining the DCM4CHEE DICOM server with a bespoke front-end packaged into an easily deployable virtual machine. It interfaces directly with MRI scanners and handles image storage, retrieval and export. It provides role-based access control, patient-study assignment, and extensive auditing. MRIdb is the result of an ongoing collaboration between the BSS and the Imaging Sciences Department of Imperial College.

Open Enterprise Master Patient Index (OpenEMPI)

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Your rating: None Average: 2.2 (33 votes)

OpenEMPI is an open source implementation of an Enterprise Master Patient (EMPI) which is a repository that maintains a registry of all patients across an enterprise.

openCDMS

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Your rating: None Average: 2.7 (17 votes)

The openCDMS project is a community effort to develop a robust, commercial-grade, full-featured and open source clinical data management system for studies and trials. The philosophy behind openCDMS is to enable clinical researchers to manage the full life cycle of their clinical research project, from design through to archiving, without any specialist knowledge of databases or IT systems.

openCDMS provides purpose built visual tools the enable clinical researchers to design, develop, implement, and manage large scale, multi-centre studies and trials quickly and easily.