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Modeling Depression Progression Dynamics from Electronic Health Record
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 ...
Cost-Effectiveness Analysis of Adaptive Monitoring Strategies for Depression Treatment
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 ...
Optimization and Machine Learning Frameworks for Complex Network Analysis
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 ...
Explicitly Controlling Geometric Characteristics of Corridors in Spatial Optimization
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 ...
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers
US Migrant farmworkers perform physically-demanding work but are less likely to report poor working conditions, which exposes them to greater risk for musculoskeletal disorders (e.g., prolonged non-neutral postures, repetitive motions and forceful exertions). Technology such as harvest-assisted mobile orchard platforms can ...
Discrete-event Simulation and Optimization to Improve the Performance of a Healthcare System
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 ...
Systems Modeling of Lung Cancer Screening Programs to Improve Quality
The main aim of this thesis is to study the factors that affect the quality of lung cancer screening with special focus on community based lung cancer screening programs. The variation in false positives and other outcomes found across screening centers and across different healthcare elements within a screening center motivates ...
Vehicle Distance Threshold for Quayside Operations of Container Terminals
In container terminal quayside operations, vehicles play a vital role in shuttling containers between the quay and the yard. The problem of determining the vehicle fleet size to employ consists of determining the exact order of moves and the vehicles to perform these moves, but due to the stochastic nature of daily operations, ...
Dynamic Models under Uncertainty for Large-Scale Enterprise Systems
Many enterprise applications such as assortment planning, inventory control and supply chain management rely on forecasting, optimization and machine learning methodologies. While many methods have been developed for static deterministic systems there is a need for methodologies that are dynamic, involve uncertainty and are ...
The U.S. Coast Guard 87’ Patrol Boat Maintenance Program: An Analysis of a Scheduling and Resource Leveling Problem
Planning and managing military ship repair projects require a delicate balance between software-based scheduling, resource loading, and risk mitigation strategies. The U.S. Coast Guard Industrial Yard, through use of Oracle’s Primavera software, has historically used the Critical Path Method (CPM) of scheduling for their ...