Search Results for author: John S. Brownstein

Found 5 papers, 3 papers with code

TCube: Domain-Agnostic Neural Time-series Narration

1 code implementation11 Oct 2021 Mandar Sharma, John S. Brownstein, Naren Ramakrishnan

We present TCube (Time-series-to-text), a domain-agnostic neural framework for time-series narration, that couples the representation of essential time-series elements in the form of a dense knowledge graph and the translation of said knowledge graph into rich and fluent narratives through the transfer-learning capabilities of PLMs (Pre-trained Language Models).

Epidemiology Knowledge Graphs +4

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach

1 code implementation1 Mar 2016 Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan

Traditional disease surveillance can be augmented with a wide variety of real-time sources such as, news and social media.

Word Embeddings

Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance

no code implementations13 Dec 2015 Mauricio Santillana, Andre Nguyen, Tamara Louie, Anna Zink, Josh Gray, Iyue Sung, John S. Brownstein

Accurate real-time monitoring systems of influenza outbreaks help public health officials make informed decisions that may help save lives.

BIG-bench Machine Learning

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