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| If you want... | You'll need to install... |
|---|---|
| CCD-to-vMR conversion only | CDA Web Service (also known as "CDA Redaction Web Service") CDA Predicate Reducer Web App for a web browser-based front-end to the service |
| Web-based CCD editing only | CAT CDA Plug-in (including the CDA MTS Service and CDA CAT Web Application) |
| CCD redaction via web service - deterministic rules only | CDA Web Service (also known as "CDA Redaction Web Service") CDA Predicate Reducer Web App for a web browser-based front-end to the service CAT CDA Plug-in (including the CDA MTS Service and CDA CAT Web Application) for an optional web-based test manager |
CCD redaction via web service - with probabilistic rules Installation video available | NaiveBayesPredicate (for native Naive Bayes classifier) or RandomForestPredicate (for any WEKA classifier – see "Classifier development and testing" below) CDA Web Service (also known as "CDA Redaction Web Service") CDA Predicate Reducer Web App for a web browser-based front-end to the service CAT CDA Plug-in (including the CDA MTS Service and CDA CAT Web Application) for an optional web-based test manager |
| HIE Prototype with all of the above | Install everything for CCD redaction via web service - with probabilistic rules (Test Manager not required) Then install the HIE Prototype project |
Inference Analyzer only Installation video available | |
Classifier development and testing | WEKA (see Software Used by DS2) |
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Predicate Reducer Video continues from where the Inference Analyzer Video left off and compiles from source and installs Predicate/Reducer, CDA Web Service, and CDA Predicate Reducer Web App.
Classifier Experimentation Video demonstrates how to download, install, and use WEKA, along with the DS2 Data Scripts project, to explore different classifiers for Decision Support for Data Segmentation. Users can follow along from their own desktop or create a cloud-based Linux desktop as used in the video and demonstrated in the Create a Cloud Desktop video.
Source Code
All project source code is available for download at the DS2 Bitbucket Repository, https://bitbucket.org/sharps-ds2.
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