A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, 2022 California State University, San Bernardino
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 ...
Multi-Block Data Integration Analysis For Identifying And Validating Targeted N-Glycans As Biomarkers For Type Ii Diabetes Mellitus, Eric Adua, Ebenezer Afrifa-Yamoah, Emmanuel Peprah-Yamoah, Enoch Odame Anto, Emmanuel Acheampong, Kwaafo Akoto Awuah-Mensah, Wei Wang
Research outputs 2022 to 2026
Plasma N-glycan profiles have been shown to be defective in type II diabetes Mellitus (T2DM) and holds a promise to discovering biomarkers. The study comprised 232 T2DM patients and 219 healthy individuals. N-glycans were analysed by high-performance liquid chromatography. The multivariate integrative framework, DIABLO was employed for the statistical analysis. N-glycan groups (GPs 34, 32, 26, 31, 36 and 30) were significantly expressed in T2DM in component 1 and GPs 38 and 20 were related to T2DM in component 2. Four clusters were observed based on the correlation of the expressive signatures of the 39 N-glycans across T2DM and controls ...
Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, 2022 Southern Methodist University
Classification Of Breast Cancer Histopathological Images Using Semi-Supervised Gans, Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, Vijayasrikanth Kaniti
SMU Data Science Review
Breast cancer is diagnosed more frequently than skin cancer in women in the United States. Most breast cancer cases are diagnosed in women, while children and men are less likely to develop the disease. Various tissues in the breast grow uncontrollably, resulting in breast cancer. Different treatments analyze microscopic histopathology images for diagnosis that help accurately detect cancer cells. Deep learning is one of the evolving techniques to classify images where accuracy depends on the volume and quality of labeled images. This study used various pre-trained models to train the histopathological images and analyze these models to create a new ...
The Impossible Situation? Impasse As Psychotherapeutic Paralysis, Possibility, And Progress, 2022 The Graduate Center, City University of New York
The Impossible Situation? Impasse As Psychotherapeutic Paralysis, Possibility, And Progress, Leo Cancelmo
Dissertations, Theses, and Capstone Projects
Psychotherapeutic impasse has long been understood in the clinical literature as treatment stagnation and even failure, both from one-person and two-person psychodynamic perspectives. However, there is a dearth of empirical research that delves deeper to understand this complex and rich phenomenon. Using semi-structured interviews with nine psychodynamic therapists speaking about individual adult patients, this study examined experiences of impasse to better understand treatments that become embroiled in a kind of paralysis. Qualitative analyses revealed dyads where patients were conceptualized as struggling chronically with negative feelings about themselves and others, and who experienced traumatic personal histories. Impasse in and of itself ...
Testicular Adrenal Rest Tumors In A Patient With Congenital Adrenal Hyperplasia, 2022 Lehigh Valley Health Network
Testicular Adrenal Rest Tumors In A Patient With Congenital Adrenal Hyperplasia, Su-Yuan Yu Bs, Kelly Freed Md
Department of Radiology & Diagnostic Medical Imaging
No abstract provided.
Investigating The Correlation Between Lpr & Obesity, 2022 University of Tennessee Health Science Center
Investigating The Correlation Between Lpr & Obesity, Andrew S. Franklin Bs, Chad A. Nieri Bs, M. Boyd Gillespie Md
Longitudinal Scholar's Project
Objectives: To determine whether Drug-Induced Sleep Endoscopy (DISE) findings of Laryngopharyngeal Reflux (LPR) correlate with obesity, gender, Epworth Sleepiness scale, and OSA severity.
Study design: Single center retrospective cohort study.
Methods: Patients greater than 18 years of age who underwent DISE by one surgeon at a tertiary care center from July 2016 to July 2022 were included. DISE findings, patient characteristics, demographics, polysomnogram(s), and Epworth Sleepiness Scale(s) were extracted. Fisher’s exact test was used to compare categorical variables, and independent sample t-test was used to compare continuous variables. All statistical analyses were performed using IBM SPSS Statistics ...
How Valuable Are Clinical Neuropsychological Assessments? A Meta-Analysis Of Neuropsychological Tests With Comparison To Common Medical Tests And Treatments, Murphy N. Harrell
Theses and Dissertations
There has been a general decrease in neuropsychological assessments at a time when medical diagnostic technology and treatments have expanded, leading to a faulty assumption that medical tests and healthcare treatments provide more reliable or valid data than psychological assessments. A landmark report from the American Psychological Association’s (APA) Psychological Assessment Work Group (PAWG) found that validity coefficients for many psychological tests were indistinguishable from those of medical tests (Meyer et al., 2001). An updated systematic review of the advancement in neuropsychological testing is essential to the continued advancement of the value of neuropsychological assessment in healthcare. This meta-analysis ...
Computer Aided Diagnosis System For Breast Cancer Using Deep Learning., 2022 University of Louisville
Computer Aided Diagnosis System For Breast Cancer Using Deep Learning., Asma Baccouche
Electronic Theses and Dissertations
The recent rise of big data technology surrounding the electronic systems and developed toolkits gave birth to new promises for Artificial Intelligence (AI). With the continuous use of data-centric systems and machines in our lives, such as social media, surveys, emails, reports, etc., there is no doubt that data has gained the center of attention by scientists and motivated them to provide more decision-making and operational support systems across multiple domains. With the recent breakthroughs in artificial intelligence, the use of machine learning and deep learning models have achieved remarkable advances in computer vision, ecommerce, cybersecurity, and healthcare. Particularly, numerous ...
Can Variables From The Electronic Health Record Identify Delirium At Bedside?, 2022 Advocate Aurora Health; University of Wisconsin School of Medicine and Public Health
Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone
Journal of Patient-Centered Research and Reviews
Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female ...
Heart To Heart, Mom To Mom, 2022 Advocate Christ Medical Center, Advocate Aurora Health
Heart To Heart, Mom To Mom, Karis L. Tekwani
Journal of Patient-Centered Research and Reviews
This essay describes the human connection forged between two young moms, one the physician and one the patient, when their paths collided one night in the emergency department of a busy hospital. It describes a challenging and most memorable care experience in the career of a young emergency physician, the clinical outcome, and the patient’s appreciative follow-up message years later.
A Review Of The Pathogenesis, Clinical Features And Diagnostic Indicators Of The Novel Condition Vaccine-Induced Thrombotic Thrombocytopenia, 2022 Munster Technological University
A Review Of The Pathogenesis, Clinical Features And Diagnostic Indicators Of The Novel Condition Vaccine-Induced Thrombotic Thrombocytopenia, Ada Fleming
International Undergraduate Journal of Health Sciences
The introduction of vaccination against SARS-CoV-2 infection was a welcome and significant event in the COVID-19 pandemic. While vaccine administration was for the most part successful, it did come with the emergence of a novel condition, Vaccine-Induced Thrombotic Thrombocytopenia (VITT). This condition presents after the administration of adenoviral vector-based vaccines against COVID-19, causing thrombocytopenia and thrombosis in affected individuals. There have been 10 suspected cases of VITT in Ireland. While its mechanism is not fully understood, the condition is characterised by the presence of Platelet Factor 4 (PF4) antibodies. There are several laboratory indicators which may suggest that a patient ...
Gender Dysphoria Versus Acute Psychosis: Can One Properly Diagnose Gender Dysphoria Solely During Acute Psychosis?, 2022 HCA Florida Aventura Hospital
Gender Dysphoria Versus Acute Psychosis: Can One Properly Diagnose Gender Dysphoria Solely During Acute Psychosis?, Kristy A. Fisher, Samantha Scemla, Clara L. Alvarez Villalba, Jessica Kroin
HCA Healthcare Journal of Medicine
Gender dysphoria occurs when a discrepancy between one’s sex assigned at birth and one’s gender identity causes distress or impairment in function, which can lead ultimately to seeking treatment in the forms of psychotherapy, hormonal therapy, and/or gender-affirming surgery. Clinical care guidelines also recommend pharmacological treatment of psychiatric comorbidities if indicated. A review of the current literature demonstrates comorbidity between gender dysphoria and psychosis, including cases of gender dysphoria with schizophrenia and the occurrence of gender dysphoria symptoms during manic or psychotic episodes. The existing literature has yet to specifically examine gender dysphoria amongst individuals with schizoaffective ...
Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, 2022 Chapman University
Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski
Mathematics, Physics, and Computer Science Faculty Articles and Research
ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accuracy in complex tasks such as heart disease diagnoses and treatments. We investigate the use of ECGs as biometrics in human identification systems by implementing state-of-the-art deep learning models. We train convolutional neural network models on approximately 81k patients from the US, Germany and China. Currently, this is the largest research project on ECG identification ...
A Suspected Case Of Vaccine Induced Thrombosis With Thrombocytopenia Following Sars Cov2 Vaccine, Maryam Soliman
Stratford Campus Research Day
With the new development of the SARS-CoV vaccine and the majority of the population receiving this vaccine, it is important to recognize some of the rare side effects associated with it.
VITT is a rare complication of the COVID vaccine
Diagnostic criteria: COVID vaccine 4-24 days prior to symptom onset, any venous or arterial thrombosis, thrombocytopenia <150, positive PF4 HIT ELISA, markedly elevated D-dimer >4x ULN.
Vaccine Induced Thrombosis with Thrombocytopenia is a potentially life-threatening diagnosis that must be recognized and treated correctly to prevent poor outcomes.
Syncope Masquerading As Pulmonary Embolism, 2022 Rowan University
Syncope Masquerading As Pulmonary Embolism, Melissa Itidiare Locke, Andrew Caravello, Melanie Angelo, Andrew Vasta
Stratford Campus Research Day
Syncope is a clinical syndrome that occurs due to a period of inadequate cerebral blood flow that cause a transient loss of consciousness that usually resolves within 8-10 seconds)  Our case demonstrates a 56-year-old female who experienced syncope for the first time. The patient had an unwitnessed fall and subsequently had imaging studies performed. A discovery of a Sub-Massive Pulmonary embolism was revealed.
Bells Palsy: A Late Complication Of Sars-Cov-2 Infection, 2022 Rowan University
Bells Palsy: A Late Complication Of Sars-Cov-2 Infection, Rohan Umrani, Sameer Akhtar, Sean Coulson, Brian Thomas, Yvette Wang
Stratford Campus Research Day
A 60 year old male with a PMH of SARS-CoV-2, OSA and primary hypogonadism presented with a chief complaint of left sided facial numbness and weakness.
Bells Palsy is commonly caused by HSV, VZV, Lyme disease and less commonly ischemia or local compression. It presents with facial paralysis and loss of taste in anterior 2/3 of tongue.
In the absence of definitive Lyme serologies despite history of tick bite, it is likely that this patient had Bell’s Palsy as a late manifestation of COVID-19.
A Puzzling Case Of Normal Pressure Hydrocephalus In The Outpatient Setting, 2022 Rowan University
A Puzzling Case Of Normal Pressure Hydrocephalus In The Outpatient Setting, Shadi Shams, Asim Shafique, Marym Khan, James Bailey
Stratford Campus Research Day
Normal Pressure Hydrocephalus (NPH) is a disease of adulthood characterized by the triad of gait disturbance, dementia, and urinary incontinence. Since NPH shares a lot of characteristics with other disorders including neurodegenerative disorders and degenerative-dystrophic spine, it is usually underdiagnosed and undertreated. Combination of ventriculomegaly seen on a computerized tomography (CT) scan or magnetic resonance imaging (MRI) with clinical findings could be used in diagnosis of NPH. However, improvement of symptoms post spinal tap procedure would be a better indication of diagnosis. Currently, shunt placement is the best available modality of treatment for NPH. Here we present a case of ...
Locked Nucleic Acid Aptamer And 10 Nm Gold Nanoparticles Increases The Sensitivity Of A Prion Protein Detection Assay, 2022 University of Tennessee, Knoxville
Locked Nucleic Acid Aptamer And 10 Nm Gold Nanoparticles Increases The Sensitivity Of A Prion Protein Detection Assay, Haley Channell
Chancellor’s Honors Program Projects
No abstract provided.
Increasing Colorectal Cancer Screening Adherence: A Scoping Review, 2022 University of Tennessee Health Science Center
Increasing Colorectal Cancer Screening Adherence: A Scoping Review, Megan E. Billingsley Bsn, Rn, Tiameria T. Ford Bsn, Rn, Mikayla E. Vican Bsn, Rn, Diana Dedmon Dnp, Aprn, Fnp-Bc
Doctor of Nursing Practice Projects
Purpose/Background Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the United States. Rates have steadily increased in recent years due to high rates of obesity, smoking, and sedentary lifestyles. Screening for the disease can lead to early detection and reduced morbidity/mortality, yet screening rates remain low. Existing literature is extensive in discussing methods to increase CRCS adherence; therefore, a scoping review allows for increased understanding of barriers to CRCS and how to address those barriers to increase screening compliance.
Methods A literature search was completed from September 2020 to October 2021. Multiple databases were ...
Using Machine Learning To Recognize Chronic Rhinosinusitis, 2022 Illinois Mathematics and Science Academy
Using Machine Learning To Recognize Chronic Rhinosinusitis, Irene Liu '23
Student Publications & Research
Chronic Rhinosinusitis (CRS) is a nasal disease characterized by the inflammation of the mucosa and paranasal sinuses with a duration of at least 12 consecutive weeks. So, to diagnose CRS, one needs to keep a record of their symptoms for ~12 weeks before they are recommended to get a tomography which will allow physicians to classify them as a patient with CRS or without. This is a timely and costly process; thus, machine learning should be used to speed the process up. Since patients with CRS have more obstructed noses, the sound produced should be different than an individual without ...