Description
NLP technology in clinical research has evolved rapidly. However, there are key gaps in common NLP tools and methods, such as: inconsistent execution across sites, lack of standards around NLP-based phenotypes, lack of integration with structured data sets, and lack of standard validation models. The ClarityNLP platform is designed to address these gaps and to enable rapid, portable NLP-based phenotyping across diverse sites and data sets.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Attendees will be introduced to ClarityNLP, an open-source, interoperable clinical NLP platform. In addition, attendees will see a demonstration of ClarityNLP and understand how it can be used to extract features for clinical quality and research objectives.
Authors:
Charity Hilton (Presenter)
Georgia Tech Research Institute
Richard Boyd, Georgia Tech Research Institute
Trey Schneider, Georgia Tech Research Institute
Christine Herlihy, Georgia Tech Research Institute
Chirag Jamadagni, Georgia Tech Research Institute
Jon Duke, Georgia Tech Research Institute
Presentation Materials: