activity
20112023
most citedAn analysis of Twitter messages in the 2011 Tohoku Earthquake

70 citations · 259 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 6 cited

Task formulation for Extracting Social Determinants of Health from Clinical Narratives

Manabu Torii, Ian M. Finn, Son Doan +3

Objective: The 2022 n2c2 NLP Challenge posed identification of social determinants of health (SDOH) in clinical narratives. We present three systems that we developed for the Chall…

cs.CL2019★ 1 cited

Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features

Son Doan, Nguyen Thi Ngoc Vinh, Tu Minh Phuong

Text classification is an important field of research from mid 90s up to now. It has many applications, one of them is in Web-based biosurveillance systems which identify and summa…

cs.CL2019★ 26 cited

How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets

Son Doan, Amanda Ritchart, Nicholas Perry +2

Background: Stress is a contributing factor to many major health problems in the United States, such as heart disease, depression, and autoimmune diseases. Relaxation is often reco…

cs.IR2019★ 35 cited

Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases

Son Doan, Quoc-Hung Ngo, Ai Kawazoe +1

We present the Global Health Monitor, an online Web-based system for detecting and mapping infectious disease outbreaks that appear in news stories. The system analyzes English new…

cs.CL2019★ 3 cited

An Empirical Study of Sections in Classifying Disease Outbreak Reports

Son Doan, Mike Conway, Nigel Collier

Identifying articles that relate to infectious diseases is a necessary step for any automatic bio-surveillance system that monitors news articles from the Internet. Unlike scientif…

cs.CL2019★ 3 cited

Using natural language processing to extract health-related causality from Twitter messages

Son Doan, Elly W Yang, Sameer Tilak +1

Twitter messages (tweets) contain various types of information, which include health-related information. Analysis of health-related tweets would help us understand health conditio…