77 citations · 187 across the 9 of their papers we have counts for
9 papers
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records
Junghwan Lee, Simin Ma, Nicoleta Serban +1
Observational data have been actively used to estimate treatment effect, driven by the growing availability of electronic health records (EHRs). However, EHRs typically consist of…
Deep Attention Q-Network for Personalized Treatment Recommendation
Simin Ma, Junghwan Lee, Nicoleta Serban +1
Tailoring treatment for individual patients is crucial yet challenging in order to achieve optimal healthcare outcomes. Recent advances in reinforcement learning offer promising pe…
Variable Partitioning for Distributed Optimization
Yuchen Zheng, Ilbin Lee, Nicoleta Serban
This paper is about how to partition decision variables while decomposing a large-scale optimization problem for the best performance of distributed solution methods. Solving a lar…
Uncovering Longitudinal Healthcare Utilization from Patient-Level Medical Claims Data
Ross P. Hilton, Nicoleta Serban, Richard Y. Zheng
The objective of this study is to introduce methodology for studying longitudinal claims data observed at the patient level, with inference on the heterogeneity of healthcare utili…
Rejoinder: "Spatial accessibility of pediatric primary healthcare: Measurement and inference"
Mallory Nobles, Nicoleta Serban, Julie Swann
Rejoinder of "Spatial accessibility of pediatric primary healthcare: Measurement and inference" by Mallory Nobles, Nicoleta Serban and Julie Swann [arXiv:1501.03626].
Spatial accessibility of pediatric primary healthcare: Measurement and inference
Mallory Nobles, Nicoleta Serban, Julie Swann
Although improving financial access is in the spotlight of the current U.S. health policy agenda, this alone does not address universal and comprehensive healthcare. Affordability…
Degradation-based residual life prediction under different environments
Rensheng Zhou, Nicoleta Serban, Nagi Gebraeel
Degradation modeling has traditionally relied on historical signals to estimate the behavior of the underlying degradation process. Many models assume that these historical signals…
A space--time varying coefficient model: The equity of service accessibility
Nicoleta Serban
Research in examining the equity of service accessibility has emerged as economic and social equity advocates recognized that where people live influences their opportunities for e…
Degradation modeling applied to residual lifetime prediction using functional data analysis
Rensheng R. Zhou, Nicoleta Serban, Nagi Gebraeel
Sensor-based degradation signals measure the accumulation of damage of an engineering system using sensor technology. Degradation signals can be used to estimate, for example, the…