A Machine Learning Approach For Predicting Patient Mortality With Heart Rate Variability Statistics, Matthew Thiele, Dario Ghersi

Theses/Capstones/Creative Projects

The prediction of patient mortality in the healthcare system provides a metric by which hospitals can better manage patient care and assess the needs of each individual patient. As such, the development of better predictive methods is vital for improving patient outcomes and overall quality of care. Heart rate variability (HRV) is a measure of the heart’s complex beating patterns, giving medical professionals additional insight into patient health. Previous research has demonstrated the potential use of heart rate variability as a metric for patient mortality prediction for various conditions, however more work is necessary to validate HRV as a metric …

Data-Driven Biomarker Panel Discovery In Ovarian Cancer Using Heterogenous Data Fusion On Exosomal And Non-Exosomal Microrna Expression Data, Paritra Mandal

All Dissertations

Ovarian cancer (OC) is an aggressive gynecological cancer and is currently the 5th leading cause of deaths due to cancer in women. High mortality rates are attributable to the vague pathogenesis and asymptomatic nature of the early stages. The development of a liquid biopsy for routine OC screening could help identify the disease at an earlier stage, making treatments more likely to be effective thereby increasing survival rates. Exosomes, small (~100nm) extracellular vesicles present in body fluids, have been shown to contain cancer-progression, onset, and related factors, making them good candidates for use in liquid biopsies. However, to date, only …

The Role Of Generative Adversarial Networks In Bioimage Analysis And Computational Diagnostics., Ahmed Naglah

Electronic Theses and Dissertations

Computational technologies can contribute to the modeling and simulation of the biological environments and activities towards achieving better interpretations, analysis, and understanding. With the emergence of digital pathology, we can observe an increasing demand for more innovative, effective, and efficient computational models. Under the umbrella of artificial intelligence, deep learning mimics the brain’s way in learn complex relationships through data and experiences. In the field of bioimage analysis, models usually comprise discriminative approaches such as classification and segmentation tasks. In this thesis, we study how we can use generative AI models to improve bioimage analysis tasks using Generative Adversarial Networks …

Identifying And Minimizing Underspecification In Breast Cancer Subtyping, Jonathan Cheuk-Kiu Tang

Master's Theses

In the realm of biomedical technology, both accuracy and consistency are crucial to the development and deployment of these tools. While accuracy is easy to measure, consistency metrics are not so simple to measure, especially in the scope of biomedicine where prediction consistency can be difficult to achieve. Typically, biomedical datasets contain a significantly larger amount of features compared to the amount of samples, which goes against ordinary data mining practices. As a result, predictive models may fail to find valid pathways for prediction during training on such datasets. This concept is known as underspecification.

Underspecification has been more accepted …

Visualization Literacy And Decision-Making In Healthcare, Stacy Weil

Translational Projects (Open Access)

The ability of workers in the healthcare industry to analyze, interpret and communicate with health data is critical to decision-making and impacts both health and business outcomes. Optimal decision-making requires having real-time access to information that provides useful insights and that lends itself to collaborative decision-making. Data visualizations have the potential to facilitate decision-making in healthcare when presented as a dashboard. However, dashboards have shown varying results in both effectiveness and adoption. Data or graphical literacy challenges experienced by health team members could complicate strategic decision-making through an inability to correctly interpret or summarize the information presented in a dashboard. …

Usability And Technology Acceptance Of An Electronic Child Abuse Screening Tool In A Pediatric Emergency Department, Angela Hayes

Translational Projects (Open Access)

Up to half of all child physical abuse victims with major abuse injuries seen in hospitals had sentinel injuries assessed by medical providers. Universal screening for child abuse and neglect in the emergency department can potentially increase detection at lower levels of injury. However, we must consider usability for the electronic health record embedded child abuse and neglect-screening tool to be most effective. The user most likely to interact with the screening tool is the bedside nurse. The interface of the initial screening tool and the process of inputting information must be perceived as useful, usable, and satisfying to the …

Social Network Analysis Of Online Support Communities For Adolescent And Young Adult Cancer Survivors, Carlos Perez Aldana

Dissertations & Theses (Open Access)

There are an estimated 633,000 adolescent and young adult (AYA) cancer survivors in the U.S. and nearly 89,500 AYAs are diagnosed with cancer every year. Cancer creates developmental and life stage disruptions, which result in multiple survivorship challenges, particularly among AYAs. Despite the advances made in cancer oncology and survivorship care, AYA cancer survivors continue to face diverse and unique psychosocial needs. Research suggests that online support communities have the potential to positively impact psychosocial care by providing AYA cancer survivors with access to social support which can help them successfully transition from treatment back to normal life as well …

Identifying Risk Factors For Anchoring Bias During Emergency Department Transitions Of Care, Roni Matin

Dissertations & Theses (Open Access)

Transitions of care have been associated with breakdowns in communication and medical errors. In emergency departments (ED) these handoffs are typically known as sign outs. Sign outs provide continuity of care for ED patients whose diagnosis and care fall across shift changes. They are short interactions where pertinent information and responsibility for the patient is transferred to the physician assuming care for them. However, these exchanges may also be an opportunity for cognitive biases to be transferred or introduced, leading to erroneous decision making. Anchoring bias is known to have a significant impact on clinical decision making. Yet, little is …

Evaluation, Validation & Implementation Of A Computerized Diagnostic Decision Support System In Primary Practice, Joe Bridges

Translational Projects (Open Access)

Background: Medical diagnosis may be the most complex task attempted by humans. Studies estimate that 95% of diagnoses in outpatient care are accurate, implying that the annual rate of inaccurate diagnoses is 12 million in the US alone, with the potential for patient harm in about half. A well-researched differential might reduce inaccurate diagnoses by offering alternatives matching the patient’s symptoms. This study searched the literature for articles evaluating the diagnostic performance of commercially available computerized diagnostic decision support systems. This search led to selecting Isabel Pro, developed by Isabel Healthcare, Ltd. of Haslemere, UK.

Evaluation and Validation: …

Computer-Aided Diagnosis For Melanoma Using Ontology And Deep Learning Approaches, Xinyuan Zhang

Dissertations & Theses (Open Access)

The emergence of deep-learning algorithms provides great potential to enhance the prediction performance of computer-aided supporting diagnosis systems. Recent research efforts indicated that well-trained algorithms could achieve the accuracy level of experienced senior clinicians in the Dermatology field. However, the lack of interpretability and transparency hinders the algorithms’ utility in real-life. Physicians and patients require a certain level of interpretability for them to accept and trust the results. Another limitation of AI algorithms is the lack of consideration of other information related to the disease diagnosis, for example some typical dermoscopic features and diagnostic guidelines. Clinical guidelines for skin disease …

Investigating The Role Of Fun30, A Chromatin Remodeler, In Dna Repair, Mehwish Iqbal

Dissertations

The repair of DNA double-strand breaks (DSBs) is crucial for maintaining genome stability. DSB repair needs to take place within the complex organization of the chromatin, and this requires changes in the chromatin structure adjacent to DSB sites. These changes occur through covalent histone modifications that alter histone-DNA contacts as well as by the action of ATP-dependent chromatin remodelers. Many chromatin remodelers, including Fun30, are involved in DSB repair. Fun30 facilitates DNA end resection at DSB site during the homologous recombination repair pathway. Apart from its role in DNA repair, Fun30 promotes gene silencing at heterochromatic loci such as telomeres, …

A Kinematic Analysis Of Joint Angle And Center Of Mass Kinematics In Automotive Manufacturing Tasks, Jarrod Smith

Electronic Theses and Dissertations

This research aimed to determine if participants of varying anthropometrics (i.e., height) would perform automotive manufacturing tasks significantly differently based on joint angle and center of mass (COM) data. Twenty-four participants between the ages of 18 and 65 (¯x = 24.1 years, SD = 7.3) completed 14 manufacturing tasks, and their motions were recorded using two inertial motion capture (IMC) systems. Participants were chosen based on their measured height, including the 5th percentile female (Group 1-5F), 50th percentile female (Group 2-50F), or 95th percentile male (Group 3-95M) (Fryar, Gu, Ogden & Flegal, 2016). The tasks used for this study were …