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Full-Text Articles in Medicine and Health Sciences

A Meta-Analysis For Laboratory Diagnostics For Coccidioidomycosis, Mary C. Cowen May 2024

A Meta-Analysis For Laboratory Diagnostics For Coccidioidomycosis, Mary C. Cowen

Biological Sciences Undergraduate Honors Theses

Coccidioidomycosis, commonly referred to as Valley Fever, is a fungal infection found in arid regions of the southwestern United States and Mexico. Infection occurs through inhalation of airborne spores from Coccidioides species, Coccidioides immitis and/or Coccidioides posadasii, and proceeds in both pulmonary and disseminated fashions. Approximately 60% of patients with coccidioidomycosis remain asymptomatic, while 40% will experience symptoms. Within the literature, there are no papers that summarize sensitivity and specificity values between different tests; therefore, this paper presents sensitivity and specificity results across different tests and companies (Meridian, IMMY, and MiraVista).


A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed Dec 2022

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …


Early Diagnosis Of Alzheimer’S Disease In The Primary Care Setting, Raymond R. Romano Dec 2020

Early Diagnosis Of Alzheimer’S Disease In The Primary Care Setting, Raymond R. Romano

Theses and Dissertations (ETD)

The burden of Alzheimer’s disease (AD) affects not just the individual but also families, providers, and society. Early recognition and diagnosis of AD may reduce cost by reducing interaction with the health care system, earlier initiation of treatment, and prolonging time to long- term care. Primary care providers, the first contact for diagnosis of patients with AD, are not fulfilling the potential of early diagnosis for a variety of reasons. Biomarkers of AD emerge on average 15 to 20 years before clinical diagnosis, yet currently established biomarkers are not easily available in the primary care setting. A growing body of …


Hoarding: Beyond The Mess, A Training For Mental Health Professionals, Kelsi Mcclaflin Apr 2020

Hoarding: Beyond The Mess, A Training For Mental Health Professionals, Kelsi Mcclaflin

Dissertations, Theses, and Projects

This literature review examines hoarding disorder with a close lens. This is a diagnosis that is new to licensed professionals across the helping professions. This training will allow participants to better understand what it means to be diagnosed with hoarding disorder, assessments that aid in detecting severity, best practices that are continually emerging, and the impact it can have on clients, their loved ones, and the community. This training takes a collaborative approach as an integrated way of treatment for all individuals involved in the process.

Keywords: hoarding, behaviors, treatment


Tick-Borne Infections In New Hampshire: An Evaluation Of The Diagnostic Process In A Local Patient Population, Katherine Anderson Jan 2020

Tick-Borne Infections In New Hampshire: An Evaluation Of The Diagnostic Process In A Local Patient Population, Katherine Anderson

Honors Theses and Capstones

Overall, approximately 95 percent of reported cases of vector-borne disease were associated with ticks, making these the most medically important group of arthropods in the United States.1 Despite the prevalence of tick-borne infections, the process for the diagnosis of this condition is not well studied. This study aims to analyze data from a pool of 100 patients who underwent testing for tick-borne disease in the same institution in Dover, New Hampshire during the most recent peak tick season of 2019. Information utilized in this study included: patient age, sex, location of testing (inpatient versus outpatient), diagnostic testing methods used …


Appraisal Of Free Online Symptom Checkers And Applications For Self-Diagnosis And Triage: An Australian Evaluation, Michella Gaye Hill Jan 2020

Appraisal Of Free Online Symptom Checkers And Applications For Self-Diagnosis And Triage: An Australian Evaluation, Michella Gaye Hill

Theses: Doctorates and Masters

The internet has impacted society and changed the way companies and individuals operate on a daily basis. Seeking information online via computer or mobile device is common practice. The phrase ‘Google it’ is now part of modern vernacular and is a resource increasingly utilised by young and old alike. Around 80% of Australian’s search health-related information online as it is convenient, cheap, and available 24/7. Symptom checkers are one tool used by consumers to investigate their health issues. Symptom checkers are automated online programs which use computerised algorithms, asking a series of questions to help determine a potential diagnosis and/or …


Female Autistic Perspectives: Limits In Diagnosis And Understanding, Alexandra Helmers Feb 2018

Female Autistic Perspectives: Limits In Diagnosis And Understanding, Alexandra Helmers

Dissertations, Theses, and Capstone Projects

The diagnosis of autism spectrum disorder has increased dramatically within the last two decades, with males being diagnosed, on average, four to five times more than females. Although researchers in the medical community have searched for a biological explanation for this discrepancy, no definitive cause has been found. I argue that our understanding of autism is primarily a social and cultural construction, in addition to a diagnosable medical disorder. The gender disparity in diagnosis reflects cultural narratives surrounding social interaction and the widespread belief in two distinct gender roles. Furthermore, narratives surrounding the topic of autism tend to unintentionally highlight …


Dosing Of Education For Patients Newly Diagnosed With Multiple Sclerosis, Laura K. Miller Feb 2017

Dosing Of Education For Patients Newly Diagnosed With Multiple Sclerosis, Laura K. Miller

Student Dissertations

The value of patient education has been widely documented in various patient populations. The main focus of this study is to evaluate the timing of patient education in correlation with the time since diagnosis. The goal of this study is to make recommendations for the optimal time in which patient education should be delivered following a diagnosis of Multiple Sclerosis (MS). This study evaluates self-advocacy using the Patient Self-Advocacy Scale (PSAS) which was completed pre and post educational programs. This data, combined with demographic data was analyzed for any relationships. Although no statistically significant findings were established, many important trends …


Characterization Of Bacterial Pathogens Involved In Aerobic Vaginitis: Prevalence, Strain Characterization And Sequelae, Leslie A. Lafferty May 2016

Characterization Of Bacterial Pathogens Involved In Aerobic Vaginitis: Prevalence, Strain Characterization And Sequelae, Leslie A. Lafferty

Graduate School of Biomedical Sciences Theses and Dissertations

Aerobic vaginitis (AV) is a more recently defined infection that involves aerobic pathogenic bacteria that replace the normal flora of the vaginal tract. It is commonly mistaken for other vaginal infections, such as bacterial vaginosis (BV), because they share many common symptoms. AV leads to complications during pregnancy, such as premature delivery and amnion infection, and is diagnosed by indications that range from vaginal discharge to inflammation. Because this infection is difficult to diagnose differentially from other vaginal infections, it is important to determine what pathogens are involved in AV so that we may have the ability to detect them. …


A Study Into The Diagnosis Of Obesity In Infants Less Than Two Years Old In The State Of Virginia, Lindsay Ann Bruno Dec 2014

A Study Into The Diagnosis Of Obesity In Infants Less Than Two Years Old In The State Of Virginia, Lindsay Ann Bruno

Senior Honors Projects, 2010-2019

In 2007, the CDC reported approximately 12.5 million children and adolescents in the U.S. were obese. Among 24-month old clinically obese children, only 23% were diagnosed as obese. The most concerning is the prevalence of obesity in 6-month olds; 16% of 6-month old infants in the U.S. are obese, of which only 14% are diagnosed as being obese. Previous research concentrates on the factors that influence infant obesity, but does not address the prevalence of diagnosing obesity in children, particularly those under two years of age. The purpose of this project was to pioneer a survey exploring the prevalence of …


Obtaining A Diagnosis Of Fetal Alcohol Spectrum Disorder: Experiences Of Caregivers And Professionals, Erica R. Lundberg Apr 2014

Obtaining A Diagnosis Of Fetal Alcohol Spectrum Disorder: Experiences Of Caregivers And Professionals, Erica R. Lundberg

Electronic Thesis and Dissertation Repository

The current study describes the lived experiences of stakeholders in a community-based fetal alcohol spectrum disorders assessment clinic. A qualitative methodology was used. Five participants, one caregiver and four professionals, were interviewed about their experiences. Six themes emerged from this process including: clinic organization: systemic strengths and challenges; attitudes and approach: laying the foundation; beyond yes or no: assessment and diagnosis; the moment of truth: delivering the diagnosis; outcomes: what happens after the diagnosis?; what does the future hold? next steps and needs. These themes formed a sequential story-telling of participant experience. Study results are critiqued and practical implications are …


Automated Point-Of-Care Image Processing Methodology For The Diagnosis Of Malaria, Michael B. Jorgensen Jan 2013

Automated Point-Of-Care Image Processing Methodology For The Diagnosis Of Malaria, Michael B. Jorgensen

Master's Theses

Malaria has profoundly influenced human history for over four thousand years and despite numerous attempts at eradication, the prevention, diagnosis, and treatment of malaria have been largely ineffective. More than five hundred million people are affected by malaria every year resulting in over one million deaths. Drug resistance development by the parasite has diminished the effectiveness of numerous treatment options due, in part, to overtreatment of negative patients based on insufficient clinical algorithms and diagnostic methods. The goal of this research was to develop an image analysis algorithm to diagnose malaria with a high degree of sensitivity and specificity in …


A Dna Computer For Glioblastoma Multiforme Diagnosis And Drug Delivery, Sumaiya F. Hashmi Jan 2013

A Dna Computer For Glioblastoma Multiforme Diagnosis And Drug Delivery, Sumaiya F. Hashmi

CMC Senior Theses

Glioblastoma multiforme (GBM) is a debilitating malignant brain tumor with expected patient survival of less than a year and limited responsiveness to most treatments, often requiring biopsy for diagnosis and invasive surgery for treatment. We propose a DNA computer system, consisting of input, computation, and output components, for diagnosis and treatment. The input component will detect the presence of three GBM biomarkers: vascular endothelial growth factor (VEGF), caveolin-1α (CAV), and B2 receptors. The computation component will include indicator segments for each of these genes, and ensure that output is only released if all the biomarkers are present. The output component …


A Machine Learning Approach To Diagnosis Of Parkinson’S Disease, Sumaiya F. Hashmi Jan 2013

A Machine Learning Approach To Diagnosis Of Parkinson’S Disease, Sumaiya F. Hashmi

CMC Senior Theses

I will investigate applications of machine learning algorithms to medical data, adaptations of differences in data collection, and the use of ensemble techniques.

Focusing on the binary classification problem of Parkinson’s Disease (PD) diagnosis, I will apply machine learning algorithms to a primary dataset consisting of voice recordings from healthy and PD subjects. Specifically, I will use Artificial Neural Networks, Support Vector Machines, and an Ensemble Learning algorithm to reproduce results from [MS12] and [GM09].

Next, I will adapt a secondary regression dataset of PD recordings and combine it with the primary binary classification dataset, testing various techniques to consolidate …


The Identification Of Diagnostic Serological Autoantibodies For Cutaneous Melanoma, Pauline Zaenker Jan 2013

The Identification Of Diagnostic Serological Autoantibodies For Cutaneous Melanoma, Pauline Zaenker

Theses: Doctorates and Masters

Abstract not available.


Diagnostic Validity Of Physical Examination Maneuvers And Patient Reported History For Shoulder Pathology, Lyndsay Somerville Aug 2012

Diagnostic Validity Of Physical Examination Maneuvers And Patient Reported History For Shoulder Pathology, Lyndsay Somerville

Electronic Thesis and Dissertation Repository

Shoulder pain and disability can pose a diagnostic challenge for clinicians owing to the numerous etiologies than can exist and the potential for multiple disorders to co-exist. There are an abundance of physical examination maneuvers available to clinicians to utilize in their clinical decision making. Additionally the patient history may be an important diagnostic tool in patients with shoulder pathology. The evidence in support of most clinical tests is weak or absent and only a few studies have formally assessed the measurement properties of history findings. The purpose of this study is to determine the diagnostic validity of physical examination …