Other Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

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 …

Ring Based Wearable Bioelectrical Impedance Analyzer For Body Fat Estimation, Muhammad Usman, Adarsh Gupta, Wei Xue

Rowan-Virtua Research Day

Introduction

• Obesity is the most serious public health problem because it is linked to cardiovascular diseases.
• Measuring fat mass is necessary to study the obesity epidemic.
• Fat mass can be estimated by measuring impedance of the human body.

Conclusions

• A novel bioelectrical impedance analyzer for body fat estimation.
• Device validated for 40 healthy human subjects against commercial analyzer.
• Great potential to replace commercial analyzers for wearable real-time body fat monitoring.