Steven J. Krieg
YOU?
Author Swipe
View article: Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories
Representing Outcome-driven Higher-order Dependencies in Graphs of Disease Trajectories Open
The widespread application of machine learning techniques to biomedical data has produced many new insights into disease progression and improving clinical care. Inspired by the flexibility and interpretability of graphs (networks), as wel…
View article: Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2 in a University Student Population, August–November 2020
Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2 in a University Student Population, August–November 2020 Open
Objectives: The impact and risk of SARS-CoV-2 transmission from asymptomatic and presymptomatic hosts remains an open question. This study measured the secondary attack rates (SARs) and relative risk (RR) of SARS-CoV-2 transmission from as…
View article: Predicting terrorist attacks in the United States using localized news data
Predicting terrorist attacks in the United States using localized news data Open
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in damage every year. To address this threat, we propose a novel feature representation method and evaluate machine learning models that learn …
View article: Deep Ensembles for Graphs with Higher-order Dependencies
Deep Ensembles for Graphs with Higher-order Dependencies Open
Graph neural networks (GNNs) continue to achieve state-of-the-art performance on many graph learning tasks, but rely on the assumption that a given graph is a sufficient approximation of the true neighborhood structure. When a system conta…
View article: Data-driven testing program improves detection of COVID-19 cases and reduces community transmission
Data-driven testing program improves detection of COVID-19 cases and reduces community transmission Open
COVID-19 remains a global threat in the face of emerging SARS-CoV-2 variants and gaps in vaccine administration and availability. In this study, we analyze a data-driven COVID-19 testing program implemented at a mid-sized university, which…
View article: Data-driven Testing Program Improves Detection of COVID-19 Cases and Reduces Community Transmission
Data-driven Testing Program Improves Detection of COVID-19 Cases and Reduces Community Transmission Open
A bstract COVID-19 remains a global threat in the face of emerging SARS-CoV-2 variants and gaps in vaccine administration and availability, and organizations must be prepared to detect and mitigate its risk to their people and activities. …
View article: Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2
Symptomatic, Presymptomatic, and Asymptomatic Transmission of SARS-CoV-2 Open
Importance Asymptomatic and presymptomatic carriers of SARS-CoV-2 are an ongoing and significant risk for community spread of the virus, especially with the majority of the world still unvaccinated and new variants emerging. Objective To q…
View article: Pandemic Pulse
Pandemic Pulse Open
COVID-19 has presented society with a unique set of challenges, including seeking a scientific understanding of the novel coronavirus, modeling its epidemiology, and inferring appropriate societal response. In this article, we posit that f…
View article: Pandemic Pulse: Unraveling and Modeling Social Signals during the\n COVID-19 Pandemic
Pandemic Pulse: Unraveling and Modeling Social Signals during the\n COVID-19 Pandemic Open
We present and begin to explore a collection of social data that represents\npart of the COVID-19 pandemic's effects on the United States. This data is\ncollected from a range of sources and includes longitudinal trends of news\ntopics, so…
View article: Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic
Pandemic Pulse: Unraveling and Modeling Social Signals during the COVID-19 Pandemic Open
We present and begin to explore a collection of social data that represents part of the COVID-19 pandemic's effects on the United States. This data is collected from a range of sources and includes longitudinal trends of news topics, socia…