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12/23/2022
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Migraine is a high-prevalence and disabling neurological disorder. Howev...
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11/18/2022
Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work
Substance use, substance use disorder, and overdoses related to substanc...
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04/21/2022
Few-shot learning for medical text: A systematic review
Objective: Few-shot learning (FSL) methods require small numbers of labe...
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09/29/2019
Towards Automatic Bot Detection in Twitter for Health-related Tasks
With the increasing use of social media data for health-related research...
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04/10/2019
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
Objective: After years of research, Twitter posts are now recognized as ...
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10/22/2018
Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research
In recent work, we identified and studied a small cohort of Twitter user...
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06/04/2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sources
In this paper, we present a customizable datacentric system that automat...
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06/25/2017
Automated text summarisation and evidence-based medicine: A survey of two domains
The practice of evidence-based medicine (EBM) urges medical practitioner...
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02/08/2017
Social media mining for identification and exploration of health-related information from pregnant women
Widespread use of social media has led to the generation of substantial ...
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10/08/2016
Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine
Adverse reactions caused by drugs following their release into the marke...
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06/22/2016
