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Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping

Oct 10, 2020
Surabhi Datta, Shekhar Khanpara, Roy F. Riascos, Kirk Roberts


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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Oct 06, 2020
Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts


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Extracting Concepts for Precision Oncology from the Biomedical Literature

Sep 30, 2020
Nicholas Greenspan, Yuqi Si, Kirk Roberts


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RadLex Normalization in Radiology Reports

Sep 10, 2020
Surabhi Datta, Jordan Godfrey-Stovall, Kirk Roberts

* Accepted at the AMIA Annual Symposium 2020 

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Patient Cohort Retrieval using Transformer Language Models

Sep 10, 2020
Sarvesh Soni, Kirk Roberts

* Accepted at the AMIA Annual Symposium 2020 

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Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning

Aug 13, 2019
Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E Shooshan, Dina Demner-Fushman, Kirk Roberts


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A frame semantic overview of NLP-based information extraction for cancer-related EHR notes

Apr 02, 2019
Surabhi Datta, Elmer V Bernstam, Kirk Roberts

* 2 figures, 4 tables 

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Enhancing Clinical Concept Extraction with Contextual Embedding

Feb 22, 2019
Yuqi Si, Jingqi Wang, Hua Xu, Kirk Roberts


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Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

Mar 28, 2016
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M Summers


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