activity
20172022
most citedAutomatically applying a credibility appraisal tool to track vaccination-related communications shared on social media

64 citations · 129 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2022★ 5 cited

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model

Usman Naseem, Byoung Chan Lee, Matloob Khushi +2

A user-generated text on social media enables health workers to keep track of information, identify possible outbreaks, forecast disease trends, monitor emergency cases, and ascert…

cs.CL2021

Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations

Shifeng Liu, Yifang Sun, Bing Li +3

The rapid growth in published clinical trials makes it difficult to maintain up-to-date systematic reviews, which requires finding all relevant trials. This leads to policy and pra…

cs.CL2021

Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

Usman Naseem, Adam G. Dunn, Matloob Khushi +1

The availability of biomedical text data and advances in natural language processing (NLP) have made new applications in biomedical NLP possible. Language models trained or fine tu…

cs.CL2021

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU

Usman Naseem, Matloob Khushi, Jinman Kim +1

Vaccines are an important public health measure, but vaccine hesitancy and refusal can create clusters of low vaccine coverage and reduce the effectiveness of vaccination programs.…

cs.SI2019★ 1 cited

Mining Twitter to Assess the Determinants of Health Behavior towards Human Papillomavirus Vaccination in the United States

Hansi Zhang, Christopher Wheldon, Adam G. Dunn +6

Objectives To test the feasibility of using Twitter data to assess determinants of consumers' health behavior towards Human papillomavirus (HPV) vaccination informed by the Integra…

cs.IR2019

Recommending research articles to consumers of online vaccination information

Eliza Harrison, Paige Martin, Didi Surian +1

Online health communications often provide biased interpretations of evidence and have unreliable links to the source research. We tested the feasibility of a tool for matching web…