Swarm Intelligence and its Applications in Biomedical Informatics
eBook - ePub

Swarm Intelligence and its Applications in Biomedical Informatics

  1. 164 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Swarm Intelligence and its Applications in Biomedical Informatics

About this book

Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas. It covers healthcare big data analytics, mobile health, personalized medicine, and clinical trial data management. This book shows how AI can be used for early disease diagnosis, prediction, and prognosis, and it offers healthcare case studies that demonstrate the application of AI and Machine Learning.

Key Features:

• Covers all major topics of swarm intelligence research and development such as novel-based search methods and novel optimization algorithm: applications of swarm intelligence to management problems and swarm intelligence for real-world application.
• Provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up 'intelligent bioinformatics'.
• Covers a wide range of topics on the role of AI, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it.
• Explores applications in different areas of healthcare and highlights the current research.

This book is designed as a reference text, and it aims primarily at advanced undergraduates and postgraduate students studying computer science and bioinformatics. Researchers and professionals will find this book useful.

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Yes, you can access Swarm Intelligence and its Applications in Biomedical Informatics by A. Sheik Abdullah in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Chapter 1 Introduction
  9. Chapter 2 Statistical Methods and Swarm Intelligence Techniques in Clinical Data Prediction
  10. Chapter 3 Data Classification by Decision Trees – An Illustration
  11. Chapter 4 Predictive Analytics Using Ant Colony Optimization with Decision Trees for Medical Data
  12. Chapter 5 Predictive Analytics Using Bee-Based Harmony Search with Decision Trees for Medical Data
  13. Chapter 6 Predictive Analytics Using Particle Swarm Optimization with Decision Trees for Type II Diabetes
  14. Chapter 7 Case-Based Analysis in Medical Informatics
  15. Chapter 8 Intelligent Optimization Unit
  16. Chapter 9 Conclusion
  17. Index