Handbook of Data Science Approaches for Biomedical Engineering: A Comprehensive Guide

Authored by Valentina Emilia Balas, this handbook delves into the research issues and concepts of biomedical engineering progress, aligning them with the latest technologies in IoT and big data. It also covers various real-time/offline medical applications that directly or indirectly rely on medical and information technology.

Big Data and IoT in Biomedical Engineering

Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc.

Technical Approaches for Solving Real-Time Healthcare Problems

This handbook provides in-depth information about Biomedical Engineering with Big Data and Internet of Things. It includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things.

Big Data Applications for Healthcare Management

The handbook discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more.

Publication Details

Published by Elsevier Science on November 13, 2019, this book is available in English. The ISBNs are 9780128183182 and 9780128183199.