Computational Intelligence for Machine Learning and Healthcare Informatics
1st Edition
Published on 22. June 2020
XV, 331 pages
978-3-11-064819-5 (ISBN)
Description
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, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.
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Additional editions
Rajshree Srivastava | Pradeep Kumar Mallick | Siddharth Swarup Rautaray
Computational Intelligence for Machine Learning and Healthcare Informatics
Book
04/2025
1st Edition
De Gruyter
€159.95
Shipment within 7-9 days
Rajshree Srivastava | Pradeep Kumar Mallick | Siddharth Swarup Rautaray
Computational Intelligence for Machine Learning and Healthcare Informatics
E-Book
06/2020
1st Edition
De Gruyter
€159.95
Available for download
Persons
Rajshree Srivastava
,
Pradeep Kumar Mallick
,
Siddhartha Swarup Rautaray
,
Manjusha Pandey
, India.
Content
- Intro
- 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
