250 citations · 295 across the 11 of their papers we have counts for
5 papers · 1 filter
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data
Yuqi Si, Elmer V Bernstam, Kirk Roberts
The paradigm of representation learning through transfer learning has the potential to greatly enhance clinical natural language processing. In this work, we propose a multi-task p…
Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping
Surabhi Datta, Shekhar Khanpara, Roy F. Riascos +1
Classifying fine-grained ischemic stroke phenotypes relies on identifying important clinical information. Radiology reports provide relevant information with context to determine s…
RadLex Normalization in Radiology Reports
Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts
Radiology reports have been widely used for extraction of various clinically significant information about patients' imaging studies. However, limited research has focused on stand…
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
Surabhi Datta, Yuqi Si, Laritza Rodriguez +3
We define a representation framework for extracting spatial information from radiology reports (Rad-SpRL). We annotated a total of 2000 chest X-ray reports with 4 spatial roles cor…
Enhancing Clinical Concept Extraction with Contextual Embeddings
Yuqi Si, Jingqi Wang, Hua Xu +1
Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Rec…