Artificial Intelligence in Healthcare

This book explores the use of swarm intelligence techniques in healthcare systems, highlighting their effectiveness in solving complex problems and presenting real-world applications. It covers hybrid variants of swarm intelligence algorithms and their applications in healthcare.

Format: Paperback / softback
Length: 150 pages
Publication date: 30 October 2022
Publisher: Springer Verlag, Singapore

This book delves into the realm of analytics and optimization in healthcare systems, presenting innovative approaches and showcasing their practical applications in real-world facilities. Over the past few decades, the utilization of swarm intelligence techniques has experienced a remarkable surge, becoming a favored tool among scientists and researchers across various domains. The primary goal of this comprehensive volume is to present thorough, in-depth, and well-focused advancements in hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.

Analytics and optimization play pivotal roles in healthcare, as they enable healthcare providers to make informed decisions and improve patient outcomes. In the healthcare industry, data is abundant, but extracting meaningful insights from it can be challenging. Swarm intelligence algorithms, such as artificial bee colony (ABC) algorithms, ant colony optimization (ACO) algorithms, and particle swarm optimization (PSO) algorithms, have shown promising results in solving complex healthcare problems.

One of the key advantages of swarm intelligence techniques is their ability to handle large-scale problems. These algorithms can process vast amounts of data and identify patterns and trends that traditional algorithms may miss. This makes them particularly useful in areas such as medical imaging, drug discovery, and patient management.

Another advantage of swarm intelligence techniques is their adaptability. These algorithms can be customized to suit specific healthcare problems and requirements. This flexibility allows healthcare providers to tailor their solutions to their unique needs and circumstances.

In this book, we will explore the latest developments in hybrid variants of swarm intelligence algorithms and their applications in healthcare systems. We will start by discussing the fundamentals of swarm intelligence algorithms and their theoretical foundations. We will then move on to discuss the application of swarm intelligence algorithms in healthcare, including medical imaging, drug discovery, and patient management.

We will also showcase real-world applications of swarm intelligence techniques in healthcare facilities, such as hospitals, clinics, and research centers. These applications will demonstrate the practical benefits of using swarm intelligence algorithms in healthcare and their potential to improve patient outcomes.

In conclusion, this book provides a comprehensive and up-to-date overview of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems. It is a valuable resource for scientists, researchers, and healthcare professionals interested in leveraging the power of swarm intelligence to solve complex healthcare problems and improve patient care.

Weight: 256g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811662676
Edition number: 1st ed. 2022