Biography:
Richmond Essieku is a health data analyst who earned his master's degree in applied statistics and data science at the University of Texas Rio Grande Valley and is now pursuing a PhD at Texas Tech University. His research area focused on public health especially on obesity research, health data analytics, health economics and machine learning.
Machine Learning (ML) and Significance Analysis of Microarray (SAM) based methods for predicting obesity of Hypothalamic Pituitary Adrenal (HPA) axis