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Leveraging State Machine Models to Develop a Knowledge Summary for Juvenile Sjögren's Disease
Grace Felix Gomez1,2, Jonathan Cummins2, David Taylor2
1Indiana University School of Dentistry, Indiana University Indianapolis, IN, USA.
None:
Juvenile Sjögren's disease (jSD) is a rare condition with no diagnostic criteria. The study aims to automate information extraction from biomedical texts by a rule-based state machine natural language processing (NLP) model to generate a knowledge summary on jSD. A state machine model was constructed to detect and classify keyterms within nDepth™. Preliminary results are based on processing 2,043 articles with 12,588,356 text lines based on a series of states and transition rules, requiring further validation.
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