Computational Intelligence for Machine Learning and Healthcare Informatics / / ed. by Rajshree Srivastava, Pradeep Kumar Mallick, Siddharth Swarup Rautaray, Manjusha Pandey.

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, refl...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2020
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2020]
©2020
Year of Publication:2020
Language:English
Series:Intelligent Biomedical Data Analysis , 1
Online Access:
Physical Description:1 online resource (XV, 331 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • List of contributors
  • 1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction
  • 2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope
  • 3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM
  • 4. Computational intelligence approach to address the language barrier in healthcare
  • 5. Recent advancement of machine learning and deep learning in the field of healthcare system
  • 6. Predicting psychological disorders using machine learning
  • 7. Automatic analysis of cardiovascular diseases using EMD and support vector machines
  • 8. Machine learning approach for exploring computational intelligence
  • 9. Classification of various image fusion algorithms and their performance evaluation metrics
  • 10. Recommender system in healthcare: an overview
  • 11. Dense CNN approach for medical diagnosis
  • 12. Impact of sentiment analysis tools to improve patients’ life in critical diseases
  • 13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm
  • 14. Machine learning in healthcare
  • 15. Computational health informatics using evolutionary-based feature selection
  • Index