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    Modeling Depression Progression Dynamics from Electronic Health Record 

    Huang, Jiaqi
    To assess and monitor the progression dynamics of patients' depression severity conditions, Markov models are refined from other disease progression modeling methodologies to identify the characteristics and evolvement of disease severity state transitions among a cohort of patients. Explored in this thesis is an integrated ...
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    Cost-Effectiveness Analysis of Adaptive Monitoring Strategies for Depression Treatment 

    Yang, Xuelu
    Depression is a significant challenge for the American medical care system and affects as high as 10% of the adult population in the U.S. There are many challenges in treating depression. People are reluctant to reveal their symptoms and seek care because many see mental health problem as a personal weakness. Meanwhile, a ...
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    Optimization and Machine Learning Frameworks for Complex Network Analysis 

    Won, Daehan
    Networks are all around us, and they may be connections of tangible objects in the Euclidean space such as electric power grids, the Internet, highways systems, etc. Among the wide range of areas in the network analysis, finding critical component in the large scale complex networks is one of the most challenging but fascinating ...
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    Explicitly Controlling Geometric Characteristics of Corridors in Spatial Optimization 

    St John, Rachel
    Spatially-explicit mixed-integer programming models (MIPs) allow decision makers to explore a variety of complex scenarios and determine optimal sets of actions across a landscape. In reserve selection problems, the landscape is partitioned into units, and the decision maker must select which units to include in a wildlife ...
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    Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System 

    Huang, Hao
    Healthcare systems have attracted the attention of management and analysis due to their high percentage of the gross domestic product (GDP) and increasing rate of growth of expenditures. Within the various types of healthcare problems, this dissertation focuses on resource allocation decisions because they can significantly ...
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    Approximating Large-Scale Binary Integer Programs by Discrete Optimal Control 

    Zhang, Pengbo
    Optimal control theory has been introduced as a powerful tool for approximately solving binary integer programming problems. In previous studies, an approach using continuous optimal control theory was developed, where the original binary integer problem was transformed into a continuous linear quadratic problem. However, the ...
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    Robust, Non-stationary, and Adaptive Fractionation in Radiotherapy 

    Ajdari, Ali
    In external beam radiotherapy for cancer, high-energy radiation is passed through the pa- tient’s body from an outside source to kill tumor cells. The challenge is that radiation also damages healthy tissue and organs-at-risk (OAR) in its path. The objective therefore is to devise treatment plans that maximize tumor-damage ...
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    Approximate dynamic programming for weakly coupled Markov decision processes with perfect and imperfect information 

    Salemi Parizi, Mahshid
    A broad range of optimization problems in applications such as healthcare operations, revenue management, telecommunications, high-performance computing, logistics and transportation, business analytics, and defense, have the following form. Heterogeneous service requests arrive dynamically and stochastically over slotted ...
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    Scheduling Mass Customized Large Product Assembly Line Considering Learning Effect and Shifting Bottleneck 

    Chen, Kuowei (2014-04-30)
    The large product assembly industry is a complex and heavily manually based assembly manufacturing process. Examples are commercial airplanes, ships, and wind turbines. These manufacturing enterprises are increasingly striving to satisfy the individual needs of customers by providing customized products. Under this circumstance, ...
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    Improving Efficiency in Allocating Pediatric Ambulatory Care Clinics 

    Haraldsson, Haraldur Hrannar
    Low utilized resources is a common problem in the health care sector. As health care costs and the need for more efficient operations increases, managers are looking for new methods to increase the utilization of their resources. At Seattle Children's Hospital in Seattle, managers of the outpatient pediatric ambulatory care ...
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    AuthorAjdari, Ali (1)Chen, Kuowei (1)Flores Audibert, Pablo Andres (1)Fu, Mingang (1)Gong, Jue (1)Haraldsson, Haraldur Hrannar (1)Huang, Hao (1)Huang, Jiaqi (1)Kumar, Peeyush (1)Merakli, Merve (1)... View MoreSubject
    Operations research (18)
    Industrial engineering (16)industrial engineering (9)Health care management (3)conditional value-at-risk (2)stochastic programming (2)Adaptive treatment planning (1)Ambulatory Care Clinic; Health Care; Modelling; Optimization simulation; Resource allocation; Schedule optimization (1)Appointment scheduling; Nonhomogeneous patients; Overbooking; Patient no-shows; Quadratic waiting cost (1)Artificial intelligence (1)... View MoreDate Issued2014 (1)2013 (1)

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