43 citations · 106 across the 12 of their papers we have counts for
12 papers
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction
Xiang Dai, Sarvnaz Karimi, Abeed Sarker +2
Active adverse event surveillance monitors Adverse Drug Events (ADE) from different data sources, such as electronic health records, medical literature, social media and search eng…
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana +10
Migraine is a high-prevalence and disabling neurological disorder. However, information migraine management in real-world settings could be limited to traditional health informatio…
Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work
Abeed Sarker
Substance use, substance use disorder, and overdoses related to substance use are major public health problems globally and in the United States. A key aspect of addressing these p…
Few-shot learning for medical text: A systematic review
Yao Ge, Yuting Guo, Yuan-Chi Yang +2
Objective: Few-shot learning (FSL) methods require small numbers of labeled instances for training. As many medical topics have limited annotated textual data in practical settings…
Towards Automatic Bot Detection in Twitter for Health-related Tasks
Anahita Davoudi, Ari Z. Klein, Abeed Sarker +1
With the increasing use of social media data for health-related research, the credibility of the information from this source has been questioned as the posts may originate from au…
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
Davy Weissenbacher, Abeed Sarker, Ari Klein +3
Objective: After years of research, Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundament…