52 citations · 205 across the 21 of their papers we have counts for
3 papers · 1 filter
The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems
DJ Albers, M Levine, L Mamykina +1
One way to interject knowledge into clinically impactful forecasting is to use data assimilation, a nonlinear regression that projects data onto a mechanistic physiologic model, in…
Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes
Matthew E Levine, George Hripcsak, Lena Mamykina +2
We evaluate the benefits of combining different offline and online data assimilation methodologies to improve personalized blood glucose prediction with type 2 diabetes self-monito…
Population physiology: leveraging population scale (EHR) data to understand human endocrine dynamics
DJ Albers, George Hripcsak, Michael Schmidt
Studying physiology over a broad population for long periods of time is difficult primarily because collecting human physiologic data is intrusive, dangerous, and expensive. Electr…