Jonathan Moran Sierra
Program: Biomedical Informatics and Data Science
Current advisor: Rotating in the lab of Philip Payne, PhD, FACMI
Undergraduate university: University of Puerto Rico-Rio Piedras
Research summary
Most valuable information in the Electronic Health Records is embedded in free text. Natural Language Processing methods have been developed to extract clinical information from free text. Even though these NLP approaches can extract clinical information, they fail at times to consider the relationship amongst words in a sentence to make our context. Negation detection is therefore essential to identify the pertaining conditions for a valuable clinical decision support and knowledge extraction.
Graduate publications