Computational intelligence for machine learning and healthcare informatics / edited by Rajshree Srivastava [and three others].

Format:

Book

Contributor:

Srivastava, Rajshree, editor.

Series:

Intelligent biomedical data analysis (IBDA) ; Volume 1

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Physical Description:

1 online resource (XV, 331 p.)

Place of Publication:

Berlin ; Boston : De Gruyter, [2020]

Language Note:

In English.

Summary:

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.

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

Notes:

Description based on print version record.

Includes index.

ISBN:

3-11-064819-9

OCLC:

1163878352