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Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang May 2023

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …


Inflammatory Marker Levels Among Patients Diagnosed With Autism Spectrum Disorder And Congenital Heart Defects, Patrick Pearce, Venkateswar Venkataraman, Andrea Iannuzzelli, Jennifer Lecomte May 2023

Inflammatory Marker Levels Among Patients Diagnosed With Autism Spectrum Disorder And Congenital Heart Defects, Patrick Pearce, Venkateswar Venkataraman, Andrea Iannuzzelli, Jennifer Lecomte

Rowan-Virtua Research Day

Autism Spectrum Disorder (ASD) and congenital heart defects (CHD) are conditions that both confer an immense increase in standard of care, and utilization of medical resources addressing comorbidities. One shared symptom that has been consistently cited is inflammation. This review sought to explore the levels of Tumor Necrosis Factor-𝞪 (TNF-𝞪) and Interleukin-6 (IL-6) between patients diagnosed as having either ASD or CHD. By compiling published data containing the mean values of these two inflammatory markers within these populations, it was shown that while both have significantly elevated levels compared to a phenotypically normal demographic, there is no significant difference between …