Frontmatter

Kapitel in diesem Buch

1. Frontmatter I
2. Preface VII
3. Contents XI
4. List of contributors XIII
5. 1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction 1
6. 2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope 21
7. 3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM 35
8. 4. Computational intelligence approach to address the language barrier in healthcare 53
9. 5. Recent advancement of machine learning and deep learning in the field of healthcare system 77
10. 6. Predicting psychological disorders using machine learning 99
11. 7. Automatic analysis of cardiovascular diseases using EMD and support vector machines 131
12. 8. Machine learning approach for exploring computational intelligence 153
13. 9. Classification of various image fusion algorithms and their performance evaluation metrics 179
14. 10. Recommender system in healthcare: an overview 199
15. 11. Dense CNN approach for medical diagnosis 217
16. 12. Impact of sentiment analysis tools to improve patients’ life in critical diseases 239
17. 13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm 253
18. 14. Machine learning in healthcare 277
19. 15. Computational health informatics using evolutionary-based feature selection 309
20. Index 329