Data Classification is a task that could be found in many life activities. In general, the term could be used for any activity that derives some decision or forecast based on the currently available information. Using a more accurate definition, a...
The purpose of this research study is to examine the use of time series forecasting and text mining to investigate the prescription of antibiotics. The specific objective is to examine the relationship between the total payments, private insurance...
From a computerized image analysis prospective, early diagnosis of lung cancer involves detection of doubtful nodules and classification into different pathologies. The detection stage involves a detection approach, usually by template matching,...
This project uses the work of Michel Foucault and Lynne Huffer to examine the creation of the transsexual subject in 1950s American sexology through the Cartesian subject. I argue that medical professionals utilized the Cartesian subject as a...
The vast knowledge of nucleic acids is evolving and it is now known that DNA can adopt highly complex, heterogeneous structures. Among the most intriguing are the G-quadruplex structures, which are thought to play a pivotal role in cancer...
This dissertation addresses two different problems: 1) coronal loop detection from solar images: and 2) salient contour group extraction from cluttered images. In the first part, we propose two different solutions to the coronal loop detection...
The goal of this thesis is to determine if neuropsychiatric features can differentiate parkinsonian patients with: tauopathies from those with alpha-synucleinopathies and explore caregiver distress. Three hundred and four patients (62 with...
In this study, the author examined the relationship of probability misconceptions
to algebra, geometry, and rational number misconceptions and investigated the potential
of probability instruction as an intervention to address misconceptions in all...
