Cardiovascular Diseases Commons^™

Heart Disease Prediction Using Stacking Model With Balancing Techniques And Dimensionality Reduction, Ayesha Noor, Nadeem Javaid, Nabil Alrajeh, Babar Mansoor, Ali Khaqan, Safdar Hussain Bouk

School of Cybersecurity Faculty Publications

Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart disease is one of the leading causes of mortality worldwide, early detection is crucial. Emerging technologies like Machine Learning (ML) are currently being actively used by the biomedical, healthcare, and health prediction industries. PaRSEL, a new stacking model is proposed in this research, that combines four classifiers, Passive Aggressive Classifier (PAC), Ridge Classifier (RC), Stochastic Gradient Descent Classifier (SGDC), and eXtreme Gradient Boosting (XGBoost), at the base layer, and LogitBoost is deployed for the final predictions at the meta layer. The imbalanced and irrelevant features in the …

The Relationship Between Physical Activity And Cardiorespiratory Fitness Among People Living With Human Immunodeficiency Virus Throughout The Life Span, Allison R. Webel, Joseph Perazzo, J. Craig Phillips, Kathleen M. Nokes, Cynthia Rentrope, Rebecca Schnall, Rita Musanti, Kimberly Adams Tufts, Elizabeth Sefcik, Mary Jane Hamilton, Carmen Portillo, Puangtip Chaiphibalsarisdi, Penelope Orton, Liana Davis, Carol Dawson Rose

Nursing Faculty Publications

BACKGROUND: People living with human immunodeficiency virus (PLHIV) are at an increased risk for developing cardiovascular disease (CVD). Physical activity and cardiorespiratory fitness in PLHIV are poorly understood.

OBJECTIVE: The aims of this study were to describe physical activity and cardiorespiratory fitness by sex and age and to examine the association between physical activity and cardiorespiratory fitness in PLHIV, controlling for covariates.

METHODS: Seven hundred two PLHIV participated in a cross-sectional study and completed validated measures of self-reported physical activity (7-day Physical Activity Recall) and cardiorespiratory fitness (6-minute walk test). Participants were recruited from 7 diverse sites in the United …

Development Of A Procedure For Analysis Of High Density Lipoprotein Subclasses, Chan Chin

Chemistry & Biochemistry Theses & Dissertations

Human serum high density lipoprotein subclasses, HDL₂ and HDL₃ , were isolated by preparative salt density gradient ultracentrifugation and further analyzed by electrophoresis on a 4 to 15% concentration gradient polyacrylamide gel.

The separation of the major classes of serum lipoproteins was achieved after a single ultracentrifugation for 272,000 g at 15°c in a swinging bucket rotor. High resolution concentration gradient gel electrophoresis was found to be particularly suitable for the separation of lipoproteins. The isolation of HDL by precipitation methods, heparin-manganese and dextran-magnesium have also been evaluated in this study, and were found not to completely separate …