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06/12/2023
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
Social determinants of health (SDOH) documented in the electronic health...
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04/26/2023
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models
In online forums like Reddit, users share their experiences with medical...
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04/13/2023
LeafAI: query generator for clinical cohort discovery rivaling a human programmer
Objective: Identifying study-eligible patients within clinical databases...
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03/14/2023
Progress Note Understanding – Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task
Daily progress notes are common types in the electronic health record (E...
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01/13/2023
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health
Objective: The n2c2/UW SDOH Challenge explores the extraction of social ...
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08/17/2022
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models
An accurate and detailed account of patient medications, including medic...
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07/27/2022
The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria
Identifying cohorts of patients based on eligibility criteria such as me...
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03/09/2022
Online User Profiling to Detect Social Bots on Twitter
Social media platforms can expose influential trends in many aspects of ...
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12/07/2021
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing
Objective: to provide a scoping review of papers on clinical natural lan...
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08/20/2021
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model
Medical imaging is critical to the diagnosis and treatment of numerous m...
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02/17/2021
Performance of Automatic De-identification Across Different Note Types
Free-text clinical notes detail all aspects of patient care and have gre...
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02/17/2021
Transferability of Neural Network-based De-identification Systems
Methods and Materials: We investigated transferability of neural network...
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02/17/2021
A Context-Enhanced De-identification System
Many modern entity recognition systems, including the current state-of-t...
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02/17/2021
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context
We hypothesize that explicit integration of contextual information into ...
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02/09/2021
Transfer Learning Approach for Arabic Offensive Language Detection System – BERT-Based Model
Developing a system to detect online offensive language is very importan...
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01/20/2021
Exploratory Arabic Offensive Language Dataset Analysis
This paper adding more insights towards resources and datasets used in A...
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07/28/2020
SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection
This paper describes SalamNET, an Arabic offensive language detection sy...
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05/14/2019
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset
Communication of follow-up recommendations when abnormalities are identi...
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10/30/2016
Feature-Augmented Neural Networks for Patient Note De-identification
Patient notes contain a wealth of information of potentially great inter...
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06/10/2016
De-identification of Patient Notes with Recurrent Neural Networks
Objective: Patient notes in electronic health records (EHRs) may contain...
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10/16/2015
