2 citations · 2 across the 2 of their papers we have counts for
6 papers
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford +1
Electronic medical records (EMR) contain longitudinal information about patients that can be used to analyze outcomes. Typically, studies on EMR data have worked with established v…
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis +5
Real-time monitoring and responses to emerging public health threats rely on the availability of timely surveillance data. During the early stages of an epidemic, the ready availab…
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie +4
In retrospective assessments, internet news reports have been shown to capture early reports of unknown infectious disease transmission prior to official laboratory confirmation. I…
Hierarchical Quickest Change Detection via Surrogates
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon +1
Change detection (CD) in time series data is a critical problem as it reveal changes in the underlying generative processes driving the time series. Despite having received signifi…
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn +2
Traditional disease surveillance can be augmented with a wide variety of real-time sources such as, news and social media. However, these sources are in general unstructured and, c…
Generating Realistic Synthetic Population Datasets
Hao Wu, Yue Ning, Prithwish Chakraborty +3
Modern studies of societal phenomena rely on the availability of large datasets capturing attributes and activities of synthetic, city-level, populations. For instance, in epidemio…