Safe Harbor Deidentification for medical documents
Phalanx - Deidentify
Safe Harbor Deidentification Mode of Phalanx is an abridged pipeline of NLP annotators culminating in NER annotators which write output of text offsets. It uses the Safe Harbor deidentification method.
We describe a simple XML format to share text documents and annotation
A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented.
Project files contain:
- simple code to hold/read/write data and perform sample processing.
- BioC-formatted corpora
- BioC tools that work with BioC corpora
BioC goals
- simplicity
- interoperability
- broad use
- reuse
There should be little investment required to learn to use a format or a software module to process that format. ...
This project is devoted to the development of natural language processing tools and resources for the Lingala language, which is spoken by tens of millions of people in central Africa.
This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
The method is based on SVM but other ML algorithms can be adopted.
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Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.