338 citations · 757 across the 20 of their papers we have counts for
7 papers · 1 filter
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si, Jingcheng Du, Zhao Li +5
Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This…
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…
Extracting Concepts for Precision Oncology from the Biomedical Literature
Nicholas Greenspan, Yuqi Si, Kirk Roberts
This paper describes an initial dataset and automatic natural language processing (NLP) method for extracting concepts related to precision oncology from biomedical research articl…
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…
Patient Cohort Retrieval using Transformer Language Models
Sarvesh Soni, Kirk Roberts
We apply deep learning-based language models to the task of patient cohort retrieval (CR) with the aim to assess their efficacy. The task of CR requires the extraction of relevant…
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature
Sarvesh Soni, Kirk Roberts
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, primarily through the use of text mining and search tools. This has led to…