311 citations · 408 across the 13 of their papers we have counts for
3 papers · 1 filter
Identifying epidemic related Tweets using noisy learning
Ramya Tekumalla, Juan M. Banda
Supervised learning algorithms are heavily reliant on annotated datasets to train machine learning models. However, the curation of the annotated datasets is laborious and time con…
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa +29
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for dee…
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision
Ramya Tekumalla, Juan M. Banda
Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name…