research
∙
05/19/2023
Bayesian Safety Surveillance with Adaptive Bias Correction
Post-market safety surveillance is an integral part of mass vaccination ...
share
research
∙
05/11/2023
Interpretable Forecasting of Physiology in the ICU Using Constrained Data Assimilation and Electronic Health Record Data
Prediction of physiologic states are important in medical practice becau...
research
∙
09/10/2022
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Common data models solve many challenges of standardizing electronic hea...
research
∙
03/14/2020
Using Data Assimilation of Mechanistic Models to Estimate Glucose and Insulin Metabolism
Motivation: There is a growing need to integrate mechanistic models of b...
research
∙
03/12/2020
Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies
Observational healthcare data offer the potential to estimate causal eff...
research
∙
04/03/2019
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)
Causal estimation of treatment effect has an important role in guiding p...
research
∙
11/15/2018
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
The automatic development of phenotype algorithms from Electronic Health...
research
∙
03/28/2018
A systematic approach to improving the reliability and scale of evidence from health care data
Concerns over reproducibility in science extend to research using existi...
research
∙
01/26/2018