6 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.AP2021★ 1 cited
A Hierarchical Bayesian Model for Stochastic Spatiotemporal SIR Modeling and Prediction of COVID-19 Cases and Hospitalizations
Curtis B. Storlie, Ricardo L. Rojas, Gabriel O. Demuth +18
Most COVID-19 predictive modeling efforts use statistical or mathematical models to predict national- and state-level COVID-19 cases or deaths in the future. These approaches assum…
stat.AP2019★ 6 cited
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…