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Niftilib

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Your rating: None Average: 3 (3 votes)

Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.

PyMVPA

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Your rating: None Average: 3.7 (3 votes)

"PyMVPA is a Python module intended to ease pattern classification analyses of large datasets. In the neuroimaging contexts such analysis techniques are also known as decoding or MVPA analysis. PyMVPA provides high-level abstraction of typical processing steps and a number of implementations of some popular algorithms. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run."

OpenPPRN

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Your rating: None Average: 5 (2 votes)

OpenPPRN is a collaboration between multiple Patient-Powered Research Networks to build an open, shared patient-facing web & mobile technology infrastructure.

With this "Open" PPRN, in the push of a button, you'll be able to deploy a Patient-Powered Research Network that is complete with:

  • Patient Registry
  • Research Survey Platform
  • Health Data Aggregation & Visualization
  • Mobile Health Tracking
  • Patient Social Network

Customizable: Select just the features you want.

Mountain Meadow EMR

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Your rating: None Average: 3 (4 votes)

Mountain Meadow EM is an Office Electronic Medical Record, which is fast, reliable and customizable. Microsoft .NET client programs connect to a local server on the network. Smaller offices can use SQL Server Express. Program pieces compilable with VB or C# Express.

Chikitsa

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Your rating: None Average: 5 (3 votes)

Patient Management System to keep track of your patients. Keep Patient Contact Details. Give Appointment. Print Fees Receipt. Stock Management for Medicines and more.

PatientExploreR

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Your rating: None Average: 5 (1 vote)

PatientExploreR interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This application produces patient-level interactive and dynamic reports and visualization of clinical data, without requiring programming skills.