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University of Tennessee, Knoxville

Masters Theses

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Articles 1 - 6 of 6

Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment

A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb May 2023

A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb

Masters Theses

One of the biggest challenges the clinical research industry currently faces is the accurate forecasting of patient enrollment (namely if and when a clinical trial will achieve full enrollment), as the stochastic behavior of enrollment can significantly contribute to delays in the development of new drugs, increases in duration and costs of clinical trials, and the over- or under- estimation of clinical supply. This study proposes a Machine Learning model using a Fully Convolutional Network (FCN) that is trained on a dataset of 100,000 patient enrollment data points including patient age, patient gender, patient disease, investigational product, study phase, blinded …


Icloudecg: A Mobile Cardiac Telemedicine System, David S. Clifford Dec 2015

Icloudecg: A Mobile Cardiac Telemedicine System, David S. Clifford

Masters Theses

With rising healthcare costs and a substantially growing number of patients 65 or over, the benefits of telemedicine and patient self-monitoring systems are becoming increasingly evident. Patients, physicians, hospitals, and even insurance providers benefit from vigilant, cost-effective patient monitoring systems. This thesis describes the development of a portable, smart-phone connected system for continuous cardiac monitoring. The system is capable of continuously monitoring the conditions of the heart, automated detection of cardiac arrhythmias, and real-time notifying patients and physicians of the detected abnormalities. The system consists of four main subsystems: 1) a Bluetooth capable chest-strap ECG, 2) an Android-enabled mobile device, …


A Computational, Topological Approach To Icu Mortality Rate Prediction With Data Relationship Realization, Adam Michael Aaron May 2015

A Computational, Topological Approach To Icu Mortality Rate Prediction With Data Relationship Realization, Adam Michael Aaron

Masters Theses

The objective of this work is to predict the mortality of intensive care unit patients based on their physiological data and understand the relationships between physiological data. Such a model may be used to prioritize care when resources are limited or identify patients that will need significant care in the immediate future. This effort will take a novel approach applying computational topological analysis to classify patients. The algorithm predicting the patient outcomes is trained using an evolutionary algorithm. The dataset used is from the 2012 PhysioNet Computing in Cardiology Challenge. A set containing 4000 records with outcomes was used to …


Joint Reaction Force And Contributions Of Surrounding Muscles To Knee Joint Load During Stair Ascent In Total Knee Replacement Patients And Healthy Individuals, Robert Jacob Rasnick Aug 2014

Joint Reaction Force And Contributions Of Surrounding Muscles To Knee Joint Load During Stair Ascent In Total Knee Replacement Patients And Healthy Individuals, Robert Jacob Rasnick

Masters Theses

Total knee replacement (TKR) is commonly used to correct end stage knee osteoarthritis (OA) of the knee joint. Unfortunately, difficulty with stair climbing has been seen to exist, prolonging the challenges of TKR patents. Complete understanding of loading at the knee is of great interest in order to aid patient populations, implant manufacturers, rehabilitation, and future research. The outcome of a TKR is intended to reestablish normal motion and loading of the knee. Musculoskeletal modeling provides a means to accurately approximate joint loading and the corresponding muscle contributions during a movement.

The purpose of the present study was to examine …


Autoimmune-Mediated Beta-Cell Death & Dysfunction: Potential Role Of Signaling Through The Fas Receptor, Carlie Joelle Frydman Aug 2012

Autoimmune-Mediated Beta-Cell Death & Dysfunction: Potential Role Of Signaling Through The Fas Receptor, Carlie Joelle Frydman

Masters Theses

Type 1 diabetes mellitus (T1DM) is an endocrine disorder that continues to afflict a growing proportion of the U.S. population. Characterized by an autoimmune attack on the pancreatic [beta] cells that leads to their destruction, T1DM develops from absolute insulin deficiency resulting in chronic hyperglycemia. Although the disease requires lifelong insulin therapy and confers enhanced risk for long-term complications, the mechanism of [beta] cell death remains unclear. Fas receptor signaling is critical among cells of hematopoietic origin for its role in immune homeostasis and mediation of target cell death. Fas receptor-ligand interactions might also have a role in [beta] cell …


Why Is There Still So Much Confusion About Vo2 Plateau? A Re-Examination Of The Work Of A.V. Hill, Richard Vincent Castle Jun 2011

Why Is There Still So Much Confusion About Vo2 Plateau? A Re-Examination Of The Work Of A.V. Hill, Richard Vincent Castle

Masters Theses

Maximal oxygen uptake (VO2max) is regarded as the gold standard for assessing aerobic fitness. In 1923, Hill et al. proposed that VO2max represents the maximal ability of the body to take in and consume O2 during strenuous exercise. Recently, however, controversy has arisen over the issue of whether a leveling off, or "plateau" in VO2 is necessary to verify attainment of VO2max. Purpose: To compare two different VO2max protocols and determine if both protocols show direct evidence of an upper limit on VO2. Methods: Nine runners (18-35 years old) completed …