Handbook of Data Science Approaches for Biomedical Engineering

By Valentina Emilia Balas, the Handbook of Data Science Approaches for Biomedical Engineering delves into the advancements in biomedical engineering and how they align with the latest technologies in IoT and big data. This comprehensive guide also explores various real-time and offline medical applications that rely on medical and information technology.

Case studies in the fields of medical science, computer science, information security, and interdisciplinary tools are included, along with modern tools and technologies used to enhance understanding. The role of big data and IoT in today’s world is significant, with data growth happening at an unprecedented rate due to increased communication through electronic devices, sensors, web logs, GPS data, mobile data, IoT, and more.

This handbook provides in-depth information about biomedical engineering with big data and IoT, offering technical approaches for solving real-time healthcare problems and practical solutions through case studies. It 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.

Published by Elsevier Science in November 2019, this book is available in English and offers a wealth of knowledge for professionals and researchers in the fields of biomedical engineering, computer science, and information technology. With its focus on the intersection of technology and healthcare, the Handbook of Data Science Approaches for Biomedical Engineering is an essential resource for those looking to understand the future of healthcare management and technology integration.

For those interested in learning more about the applications of big data and IoT in biomedical engineering, this handbook serves as a comprehensive guide. It provides insights into the latest trends, technologies, and research in the field, making it an invaluable resource for both academics and professionals.

Whether you’re looking to advance your knowledge in predictive analytics, data integration, or the latest algorithms for analyzing medical data, the Handbook of Data Science Approaches for Biomedical Engineering is the perfect resource. Dive into the world of biomedical engineering and discover how big data and IoT are shaping the future of healthcare.