Containerized Machine Learning for the Semiconductor Fab
Building containerized ML and data pipelines for the Semiconductor Fab with Fabscape, Docker, GRPC and your favorite machine learning libraries.
Survival Analysis of COVID-19 Patients with AKI
Using nonproportional hazards models with clinical data to predict patient outcome with acute kidney injury (AKI), and inform patient care
Predicting Patient Outcome with Medication Regimen Complexity
Testing predictive power of multiple medication regimen complexity scoring techniques in categorical prediction models of patient outcome
New Approaches for the Oldest Time Series of Its Kind
Using multi-stage Bayesian state-space models and wavelet analysis to analyze climate patterns on the longest time series of its kind
Mathematical Models of Microbes for Planet-Scale Predictions
Using data from laboratory experiments to predict microbial growth rates in future climate scenarios
An Improved Method for Missing Data in Time Series
Alternative covariance specifications in state-space models to improve imputation accuracy in time series