User Rating: 5 / 5

Star ActiveStar ActiveStar ActiveStar ActiveStar Active

MedTagger contains a suite of programs that the Mayo Clinic NLP program has developed in 2013. It includes three major components: MedTagger for indexing based on dictionaries, MedTaggerIE for information extraction based on patterns, and MedTaggerML for machine learning-based named entity recognition.

Custom Ruleset Use Case - COVID 19

MedTagger IE Pipelines use a custom ruleset format. An example ruleset of Coronavirus Diseases 19 (COVID 19) related symptoms (e.g. dry cough, fever, fatigue) can be found here under the /src/main/resources/medtaggerieresources/covid19 directory. These resources are what tells MedTagger what to do/extract, and this directory is expected as input for the RULEDIR parameter

Resources Link

© 2021