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09/12/2023
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets
The COVID-19 pandemic has presented significant challenges to the health...
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04/26/2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Despite growing interest in using large language models (LLMs) in health...
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09/10/2022
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Common data models solve many challenges of standardizing electronic hea...
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07/11/2022
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
Social media is often utilized as a lifeline for communication during na...
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07/27/2021
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
The use of social media data, like Twitter, for biomedical research has ...
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02/13/2021
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media
The rapid evolution of the COVID-19 pandemic has underscored the need to...
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07/20/2020
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning
Since the classification of COVID-19 as a global pandemic, there have be...
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05/19/2020
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction
Automated methods for granular categorization of large corpora of text d...
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04/07/2020
A large-scale COVID-19 Twitter chatter dataset for open scientific research – an international collaboration
As the COVID-19 pandemic continues its march around the world, an unprec...
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03/31/2020
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
With the increase in popularity of deep learning models for natural lang...
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03/31/2020
Social Media Mining Toolkit (SMMT)
There has been a dramatic increase in the popularity of utilizing social...
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11/19/2019
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation
With the advent of deep learning for computer vision tasks, the need for...
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09/18/2018