Search Results for "disease"

SyntheaTM is an open-source, synthetic patient generator that models the medical history of synthetic patients. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data that is otherwise legally or practically unavailable. The models used to generate synthetic patients are informed by...

...Modules add new powers, and when ct.js is not enough, you can add any JS code or library. A small stylized adventure with AI-powered sea battles, violent environment, and little puzzle sections. Join the voyage to save a colony from a deadly disease!

Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies.

...The API platform is available as a .NET or Java implementation (see the ReadMe.txt file, in the downloadable zip file, for further information). This multimedia syndication Application Programming Interface (API) platform was developed by the Centers for Disease Control and Prevention (CDC) in collaboration with the Department of Health and Human Services (HHS), Assistant Secretary for Public Affairs office (ASPA), and the Food and Drug Administration’s (FDA) Center for Tobacco Products (CTP). https://syndication.hhs.gov/ http://tools.cdc.gov/ http://tools.niaid.nih.gov/ http://tools.fda.gov/

Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.

Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.