Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare

Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare explores the integration of advanced technologies in the healthcare sector. Aimed primarily at graduates and researchers, this book also serves as a valuable resource for industry and medical professionals interested in the impact of emerging technologies on healthcare delivery. It delves into how high-precision algorithms can enhance the efficiency and effectiveness of healthcare systems.

The book highlights the role of machine learning, deep learning, big data, and the Internet of Things (IoT) in transforming healthcare practices. These technologies enable machines to learn from data without explicit programming, paving the way for innovative solutions to complex healthcare challenges. By combining big data technologies with high-performance computing, the book illustrates how these advancements can help analyze and interpret data-intensive processes within healthcare environments.

Comprehensively covering essential topics, the book includes discussions on e-monitoring in healthcare, case studies that illustrate the application of big data, and the use of intelligent learning analytics. It also addresses the identification of diseases through machine learning and IoT, the development of deep learning frameworks, and the role of IoT in promoting sustainable healthcare practices. Additionally, it presents a heterogeneous IoT-based application for remote monitoring, emphasizing the importance of these technologies in improving patient outcomes and operational efficiency in the healthcare field.