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Dr. Friedman's work has focussed on both basic and applied research in the area of natural language processing, specializing in the medical domain and more recently the biomolecular domain. She developed a general natural language extraction and encoding system for the clinical domain called MedLEE that is in daily use at New York Presbyterian Hospital (NYPH). In collaboration with Andrey Rzhetsky, she also developed a natural language system called GENIES, which is based on an adaptation of MedLEE. GENIES extracts biomolecular relations from journals and is part of the GeneWays system. Dr. Friedman is currently working on the development of BioMedLEE in collaboration with Dr. Yves Lussier. BioMedLEE extracts a broad range of genotypic-phenotypic relations from the literature, and maps the extracted information to an appropriate biological ontology. One of Dr. Friedman's goals is to demonstrate the value of natural language processing for a broad range of clinical and biomedical applications that include decision support, automated encoding, vocabulary development, clinical research, outcomes analysis, error detection, and genomics research.
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Biomedical Informaticspp.241-272, (2021)
Lynn Petukhova,Nana Ekua Adenu-Mensah,Ning Shang,Lyudmila Ena,Carol Friedman,Chunhua Weng, Eric W. Schrimshaw
Journal of Clinical and Translational Scienceno. s1 (2020): 112-112
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