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2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, KC Santosh 2023 University of South Dakota

2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, Kc Santosh

SDSU Data Science Symposium

Abstract. In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep Learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients …


A Machine Learning Approach For Predicting Patient Mortality With Heart Rate Variability Statistics, Matthew Thiele, Dario Ghersi 2022 University of Nebraska at Omaha

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 …


Gene Therapy And Biomedical Applications, Sarah Dundore, Leena Pattarkine 2022 Harrisburg University of Science and Technology

Gene Therapy And Biomedical Applications, Sarah Dundore, Leena Pattarkine

Harrisburg University Research Symposium

Gene therapy has many uses today through the new treatment options and its potential to treat uncurable diseases. (Class Project)


End-Organ Function And Exercise Performance In Patients With Fontan Circulation: What Characterizes The High Performers?, Scott J Weinreb, Kathryn M Dodds, Danielle S Burstein, Jing Huang, Elizabeth B Rand, Edna Mancilla, Jennifer R Heimall, Michael G McBride, Stephen M Paridon, David J Goldberg, Jack Rychik 2020 Children's Hospital of Philadelphia, Philadelphia, PA

End-Organ Function And Exercise Performance In Patients With Fontan Circulation: What Characterizes The High Performers?, Scott J Weinreb, Kathryn M Dodds, Danielle S Burstein, Jing Huang, Elizabeth B Rand, Edna Mancilla, Jennifer R Heimall, Michael G Mcbride, Stephen M Paridon, David J Goldberg, Jack Rychik

Center for Advanced Practice

Background The physiologic hallmarks of the Fontan circulation-chronically elevated central venous pressures and low cardiac output-have significant effects not only on cardiovascular status but also impact other organ systems. Exercise capacity is limited in many and declines with age, accelerating in adolescence, but with wide variability. We explore the relationship between exercise performance and end-organ function in outpatient subjects with a Fontan circulation. Methods and Results This is a cross-sectional analysis of subject end-organ characterization from our outpatient Fontan circulation clinic with peak oxygen consumption (peak Vo


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