3 papers
math.OC2024
A new approach to data assimilation initialization problems with sparse data using multiple cost functions
David J. Abers, George Hripcsak, Lena Mamykina +2
This article develops a novel data assimilation methodology, addressing challenges that are common in real-world settings, such as severe sparsity of observations, lack of reliable…
math.OC2024
A Stochastic Model-Based Control Methodology for Glycemic Management in the Intensive Care Unit
Melike Sirlanci, George Hripcsak, Cecilia C. Low Wang +5
Intensive care unit (ICU) patients exhibit erratic blood glucose (BG) fluctuations, including hypoglycemic and hyperglycemic episodes, and require exogenous insulin delivery to kee…
stat.AP2023
Interpretable Forecasting of Physiology in the ICU Using Constrained Data Assimilation and Electronic Health Record Data
David Albers, Melike Sirlanci, Matthew Levine +3
Prediction of physiologic states are important in medical practice because interventions are guided by predicted impacts of interventions. But prediction is difficult in medicine b…