Dr. Guergana Savova, PhD, FACMI; Professor, Computational Health Informatics Program at Boston Children’s Hospital and Harvard Medical School
In this talk, Professor Savova will position the latest developments in clinical Natural Language Processing (NLP) in the context of the explosive achievements in the broader NLP field. How can clinical NLP advance in the era of data hungry methods? Does it matter how the personally identifiable information is obliterated in clinical text? Prof. Savova will demonstrate how the latest methods are applied to core tasks – information extraction and temporal relation extraction – through some of the translational science initiatives in her lab (Deep Phenotyping for Oncology/DeepPhe, Temporal Histories of Your Medical Events/THYME).
Learn more about the event and the speakers on AdvanceCTR.org.
This seminar will be recorded. By registering for this event, you consent to audio and video recording, without compensation, for use by Advance-CTR and its partners.