research
∙
09/14/2023
Text Classification of Cancer Clinical Trial Eligibility Criteria
Automatic identification of clinical trials for which a patient is eligi...
share
research
∙
06/05/2023
Evaluation of AI Chatbots for Patient-Specific EHR Questions
This paper investigates the use of artificial intelligence chatbots for ...
research
∙
05/19/2023
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes
We introduce an annotated corpus of 600 ophthalmology notes labeled with...
research
∙
03/21/2023
Application of an ontology for model cards to generate computable artifacts for linking machine learning information from biomedical research
Model card reports provide a transparent description of machine learning...
research
∙
11/08/2022
Toward a Neural Semantic Parsing System for EHR Question Answering
Clinical semantic parsing (SP) is an important step toward identifying t...
research
∙
05/03/2022
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
This paper develops the first question answering dataset (DrugEHRQA) con...
research
∙
04/19/2021
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
We present an overview of the TREC-COVID Challenge, an information retri...
research
∙
04/17/2021
Hierarchical Transformer Networks for Longitudinal Clinical Document Classification
We present the Hierarchical Transformer Networks for modeling long-term ...
research
∙
02/24/2021
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data
The paradigm of representation learning through transfer learning has th...
research
∙
10/10/2020
Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping
Classifying fine-grained ischemic stroke phenotypes relies on identifyin...
research
∙
10/06/2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Patient representation learning refers to learning a dense mathematical ...
research
∙
09/30/2020
Extracting Concepts for Precision Oncology from the Biomedical Literature
This paper describes an initial dataset and automatic natural language p...
research
∙
09/10/2020
RadLex Normalization in Radiology Reports
Radiology reports have been widely used for extraction of various clinic...
research
∙
09/10/2020
Patient Cohort Retrieval using Transformer Language Models
We apply deep learning-based language models to the task of patient coho...
research
∙
07/06/2020
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature
The COVID-19 pandemic has resulted in a tremendous need for access to th...
research
∙
05/09/2020
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
TREC-COVID is a community evaluation designed to build a test collection...
research
∙
08/13/2019
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
We define a representation framework for extracting spatial information ...
research
∙
04/02/2019
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes
Objective: There is a lot of information about cancer in Electronic Heal...
research
∙
02/22/2019
Enhancing Clinical Concept Extraction with Contextual Embedding
Neural network-based representations ("embeddings") have dramatically ad...
research
∙
03/28/2016
