Engineering Commons^™

Prediction Of Traditional Chinese Medicine Diagnosis From Psychosocial Questionnaires, Scott David Mist

Dissertations and Theses

Astonishingly, most Traditional Chinese Medicine (CM) research in the West proceeds without CM diagnoses, perhaps because CM diagnosis is time consuming or not considered relevant. One way to improve the feasibility of incorporating CM diagnosis would be to prescreen participants using questionnaires. This would allow cost savings in recruitment, and balancing of treatments by CM diagnosis. Consequently, the hypothesis of this research was that pre-treatment questionnaires can predict CM diagnosis.

Baseline questionnaires from 195 participants with temporomandibular joint disorder (TMD) were examined to test the hypothesis. Two methods, logistic regression (LR) and reconstructability analysis (RA), were used in conjunction to …

Shift Work In The Long-Termcare Industry : An Examination Of Organizational And Individual Factors That Influence Employee Outcomes, Kristin Elizabeth Charles

Dissertations and Theses

The long-term care (LTC) industry provides medical and social services in facility-based settings to the elderly, chronically ill, and disabled. With the aging of the United States population, the need for LTC workers is expected to drastically increase in the next decade. However, the industry faces a significant staffing shortage. One potential cause of staffing problems in LTC is working non-standard work schedules. Because of the need to provide around the clock care, LTC employees often work non-standard shifts, long hours, night work, and over weekends and holidays. Although many studies have examined health and sleep-related outcomes associated with non-standard …

Sensitivity Analysis For Hierarchical Decision Models, Hongyi Chen

Dissertations and Theses

In this dissertation, a comprehensive algorithm is developed to analyze the sensitivity of hierarchical decision models (HDM), which include the well-known analytic hierarchy process (AHP) and its variants, to single and multiple changes in the local contribution matrices at any level of the decision hierarchy. The algorithm is applicable to all HDM that use an additive function to derive the overall contribution vector. It is independent of pairwise comparison scales, judgment quantification techniques and group opinion combining methods. The direct impact of changes to a local contribution value on decision alternatives' overall contributions, allowable range/region of perturbations, contribution tolerance, operating …

Improving Monitoring And Diagnosis For Process Control Using Independent Component Analysis, Thaddeus Taylor Shannon

Dissertations and Theses

Statistical Process Control (SPC) is the general field concerned with monitoring the operation and performance of systems. SPC consists of a collection of techniques for characterizing the operation of a system using a probability distribution consistent with the system's inputs and outputs. Classical SPC monitors a single variable to characterize the operation of a single machine tool or process step using tools such as Shewart charts. The traditional approach works well for simple small to medium size processes. For more complex processes a number of multivariate SPC techniques have been developed in recent decades. These advanced methods suffer from several …

A Multilevel Analysis Of Individual And Organizational-Level Effects On Staff Attitudes Towards Use Of Medication In Substance Abuse Treatment, John Patrick Fitzgerald

Dissertations and Theses

Studies consistently indicate a general lack of support for use of medications in the treatment of substance abuse disorders by clinicians, patients, and other stakeholders involved in treatment. Both individual and organizational factors have been shown to influence attitudes towards medications, but the relative contribution of each of these factors remains unclear. Whereas previous studies, by their very design, have generated multilevel data structures, they nevertheless have employed analytic strategies that ignore the multilevel dependencies inherent in such data sets.

To address these limitations, this study took a multilevel approach to investigate the influence of individual and organizational factors on …