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A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.
The Medical Imaging Interaction Toolkit (MITK) is a free open-source software system for development of interactive medical image processing software. MITK combines the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) with an application framework. As a toolkit, MITK offers those features that are relevant for the development of interactive medical imaging software covered neither by ITK nor VTK.
Core features of the MITK platform:
EGADSS (Evidence-based Guideline and Decision Support System) is an open source tool that is designed to work in conjunction with primary care Electronic Medical Record (EMR) systems to provide patient specific point of care reminders in order to aid physicians provide high quality care. EGADSS is designed as a stand alone system that would respond to requests from existing Electronic Medical Records such as Wolf, Med Access, and MedOffIS to provide patient specific clinical guidance based on its internal collection of guidelines.
Occupancy in certain hospital patient care units is impacted by procedure scheduling policies and practices. For example, intensive care unit occupancy is strongly related to open heart surgery schedules. Similarly, occupancy in obstetrical postpartum units is impacted by the daily number of scheduled labor inductions and cesarean sections. That was the motivation for this project.
OBsched is a set of optimization models and supporting software for exploring the relationship between patient scheduling and nursing unit occupancy in hospitals.
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.
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.
"According to the homepage: "After nearly 10 years, the openCDMS system..."
posted by holger on openCDMS 6 years 8 months
"For details about the fork see these discussions FreeHealth 7 years 1 month
"Glucosio wins award from Black Duck for top new OSS projects in 2015!
..."
posted by demski on Glucosio 8 years 6 days
"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 1 month
"AuShadha Open Source EMR has moved to Django 1.7.x
..."
posted by dreaswar on AuShadha 9 years 4 months