Masoumeh T. Izadi

Learn More
The fragmented nature of population health information is a barrier to public health practice. Despite repeated demands by policymakers, administrators, and practitioners to develop information systems that provide a coherent view of population health status, there has been limited progress toward developing such an infrastructure. We are creating an(More)
outbreaks are a key public-health priority and are driving an emerging fi eld of multidisciplinary research. Recent health threats to large populations around the world include the Severe Acute Respiratory Syndrome (SARS) epidemic in Asia; the outbreak of avian fl u in East Asian countries; this year's global swine fl u (H1N1); the catastrophic aftereffects(More)
Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. The performance of these algorithms can be improved by eliminating unnecessary backups or(More)
Recent research on point-based approximation algorithms for POMDPs demonstrated that good solutions to POMDP problems can be obtained without considering the entire belief simplex. For instance , the Point Based Value Iteration (PBVI) algorithm [Pineau et al., 2003] computes the value function only for a small set of belief states and iteratively adds more(More)
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dy-namical system and collect data measuring its behavior over time. These data are often used to build models that explain relationships between the measured variables, and are eventually used for planning and control purposes. However , these(More)
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of hours in making a right decision can lead to hundreds of lives lost. Current detection methods trade off reliability of alarms for early detection of outbreaks. The performance of(More)
Unplanned hospital readmissions raise health care costs and cause significant distress to patients. Hence, predicting which patients are at risk to be readmitted is of great interest. In this paper, we mine large amounts of administrative information from claim data, including patients demographics, dispensed drugs, medical or surgical procedures performed,(More)