This book aims to technologically advance the deployment and use of big data analytics to increase patients big data usefulness and improve healthcare service delivery....Loe edasi...
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available techno...Loe edasi...
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies....Loe edasi...
This book is highly focused on computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements in nuclear imaging. Basic Bayesian statistical concepts, elements of Bayesian decision theory, and counting st...Loe edasi...
This book combines methodology and statistics in the same course material, making it coherent and easier to put into practice. Using storytelling as a tool for knowledge acquisition and retention, it will be valuable for courses in any healthcare pr...Loe edasi...