Disease Prediction using Machine Learning, Deep Learning and Data Analytics
eBook - ePub

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

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

Disease Prediction using Machine Learning, Deep Learning and Data Analytics

About this book

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices and outcomes. The main features of the book include 1) referenced contributions from healthcare and data analytics experts, 2) a broad range of topics that cover healthcare services, and 3) demonstration of deep learning techniques for specific diseases. Key topics: - Federated learning in analysis of sensitive healthcare data while preserving privacy and security. - Artificial intelligence for 3-D bone image reconstruction. - Detection of disease severity and creating personalized treatment plans using machine learning and software tools - Case studies for disease detection methods for different disease and conditions, including dementia, asthma, eye diseases - Brain-computer interfaces - Data mining for standardized electronic health records - Data collection, management, and analysis in epidemiological research The book is a resource for learners and professionals in healthcare service training programs and health administration departments. Readership Learners and professionals in healthcare service training programs and health administration departments.

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Yes, you can access Disease Prediction using Machine Learning, Deep Learning and Data Analytics by Geeta Rani, Vijaypal Singh Dhaka, Pradeep Kumar Tiwari, Geeta Rani,Vijaypal Singh Dhaka,Pradeep Kumar Tiwari in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. INTRODUCTION
  8. DEDICATION
  9. List of Contributors
  10. Role of Federated Learning in Healthcare: A Review
  11. Role of Artificial Intelligence in 3-D Bone Image Reconstruction: A Review
  12. Role of Machine Learning and Deep Learning Techniques in Detection of Disease Severity: A Survey
  13. Computer-aided Bio-medical Tools for Disease Identification
  14. Prognosis of Dementia using Machine Learning
  15. A Clinical Decision Support System for Effective Identification of the Onset of Asthma Disease
  16. Applying Deep Learning and Computer Vision for Early Diagnosis of Eye Diseases
  17. The Fusion of Human-Computer Interaction and Artificial Intelligence Leads to the Emergence of Brain Computer Interaction
  18. Mining Standardized EHR Data: Exploration, Issues, and Solution
  19. Role of Database in Epidemiological Situation