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Task formulation for Extracting Social Determinants of Health from Clinical Narratives
The review of the extraction results from our systems reveals characteristics of each approach and those of the SODH extraction task.
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
Text classification is an important field of research from mid 90s up to now.
How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets
Background: Stress is a contributing factor to many major health problems in the United States, such as heart disease, depression, and autoimmune diseases.
An Empirical Study of Sections in Classifying Disease Outbreak Reports
Identifying articles that relate to infectious diseases is a necessary step for any automatic bio-surveillance system that monitors news articles from the Internet.
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases
We present the Global Health Monitor, an online Web-based system for detecting and mapping infectious disease outbreaks that appear in news stories.
Using natural language processing to extract health-related causality from Twitter messages
We proposed a set of lexico-syntactic patterns based on dependency parser outputs to extract causal information.
Natural Language Processing in Biomedicine: A Unified System Architecture Overview
In modern electronic medical records (EMR) much of the clinically important data - signs and symptoms, symptom severity, disease status, etc.
