Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders
eBook - ePub

Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders

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

Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders

About this book

This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth.

Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information.

This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.

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Yes, you can access Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders by S. N. Kumar,Sherin Zafar,Sameena Naaz in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. About the Editors
  9. List of Contributors
  10. Part I Introduction and Challenges
  11. Part II Neuroimaging and Diagnostic Techniques
  12. Part III Machine Learning and AI Applications in Neurological Disorders
  13. Index