Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Sandeep Kumar, Anand Nayyar, Anand Paul, Sandeep Kumar, Anand Nayyar, Anand Paul

• Publisher: Chapman and Hall/CRC
• Year: 2019
• ISBN:
  9781000727036
• Edition: 1
• Topic: Medicine
• Subtopic: Biotechnology in Medicine

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient's life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world.

Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world.

Key Features:

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• Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry.

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• Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection.

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• In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis.

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• Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms.

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• Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis.

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• Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery.

The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• About the Editors
• Contributors
• Abbreviations
• CHAPTER 1. Swarm Intelligence and Evolutionary Algorithms in Disease Diagnosis—Introductory Aspects
• CHAPTER 2. Swarm Intelligence and Evolutionary Algorithms for Cancer Diagnosis
• CHAPTER 3. Brain Tumour Diagnosis
• CHAPTER 4. Swarm Intelligence and Evolutionary Algorithms for Diabetic Retinopathy Detection
• CHAPTER 5. Swarm Intelligence and Evolutionary Algorithms for Heart Disease Diagnosis
• CHAPTER 6. Swarm Intelligence and Evolutionary Algorithms for Drug Design and Development
• Index