nttmuClinical.NET

nttmuClinical.NET was built using Microsoft .NET Framework 4. Its components were developed based on the data set of the i2b2 2014 shared task track 2.

nttmuClinical.NET employs a number of rule-based and machine learning methods. It also integrates several state-of-the-art natural language processing components available on the NuGet Gallery.

nttmuClinical.NET components include:

• Section heading recognition

• Risk factor recognition and time attribute assignment

• Smoking status classification

• Record format detection

• Tokenization, part-of-speech tagging and sentence boundary detection through MedPost