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Article
A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption
Contagious disease pandemics, such as COVID-19, can cause hospitals around the world to delay nonemergent elective surgeries, which results in a large surgery backlog. To develop an operational solution for pr...
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Article
Analysis of impact of balanced level on MI-based and non-MI-based feature selection methods
Advancements in high-speed computer technology play an ever-increasing role in analyzing various types and massive size data. However, handling big high-dimensional data sets is a challenge in terms of computa...
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Article
Theoretical bounds and approximation of the probability mass function of future hospital bed demand
Failing to match the supply of resources to the demand for resources in a hospital can cause non-clinical transfers, diversions, safety risks, and expensive under-utilized resource capacity. Forecasting bed de...
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Article
A unique solution for principal component analysis-based multi-response optimization problems
A procedure to find a unique solution for multi-response optimization problems based on indexing is presented. The procedure utilizes principal component analysis to map the original data to a new vector of co...
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Chapter and Conference Paper
Heuristic Ranking Classification Method for Complex Large-Scale Survival Data
Unlike traditional datasets with a few explanatory variables, analysis of datasets with high number of explanatory variables requires different approaches. Determining effective explanatory variables, specific...
