Screen LibraryComputational intelligence for machine learning and healthcare /
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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| Group Author: | ; ; ; |
|---|---|
| Published: |
De Gruyter,
|
| Publisher Address: | Berlin : |
| Publication Dates: | [2020] |
| Literature type: | Book |
| Language: | English |
| Series: |
Intelligent Biomedical Data Analysis,
1 |
| Subjects: | |
| 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. |
| Carrier Form: | xv, 331 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783110647822 3110647826 |
| Index Number: | R859 |
| CLC: | R319 |
| Call Number: | R319/C738-8 |
| 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 sys |