15. Computational health informatics using evolutionary-based feature selection
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Vanaja Ramaswamy
Abstract
This chapter is a recent survey of evolutionary computation (EC)-based feature selection (FS) techniques whose objective is mainly to improve the accuracy of the machine learning algorithm in minimized computation time. The idea is to bring forth the main strengths of EC as a naturally inspired optimization technique for FS in the machine learning process. The modeling of biological and natural intelligence that has made progressive advancements in the recent decade motivates us to review state-of-the-art FS techniques to add more to the area of computational intelligence. Owing to its importance, the use-case in support of health informatics is also exhibited.
Abstract
This chapter is a recent survey of evolutionary computation (EC)-based feature selection (FS) techniques whose objective is mainly to improve the accuracy of the machine learning algorithm in minimized computation time. The idea is to bring forth the main strengths of EC as a naturally inspired optimization technique for FS in the machine learning process. The modeling of biological and natural intelligence that has made progressive advancements in the recent decade motivates us to review state-of-the-art FS techniques to add more to the area of computational intelligence. Owing to its importance, the use-case in support of health informatics is also exhibited.
Chapters in this book
- Frontmatter I
- Preface VII
- Contents XI
- List of contributors XIII
- 1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction 1
- 2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope 21
- 3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM 35
- 4. Computational intelligence approach to address the language barrier in healthcare 53
- 5. Recent advancement of machine learning and deep learning in the field of healthcare system 77
- 6. Predicting psychological disorders using machine learning 99
- 7. Automatic analysis of cardiovascular diseases using EMD and support vector machines 131
- 8. Machine learning approach for exploring computational intelligence 153
- 9. Classification of various image fusion algorithms and their performance evaluation metrics 179
- 10. Recommender system in healthcare: an overview 199
- 11. Dense CNN approach for medical diagnosis 217
- 12. Impact of sentiment analysis tools to improve patients’ life in critical diseases 239
- 13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm 253
- 14. Machine learning in healthcare 277
- 15. Computational health informatics using evolutionary-based feature selection 309
- Index 329
Chapters in this book
- Frontmatter I
- Preface VII
- Contents XI
- List of contributors XIII
- 1. A review of bone tissue engineering for the application of artificial intelligence in cellular adhesion prediction 1
- 2. Implementation and classification of machine learning algorithms in healthcare informatics: approaches, challenges, and future scope 21
- 3. Cardiac arrhythmia recognition using Stockwell transform and ABC-optimized twin SVM 35
- 4. Computational intelligence approach to address the language barrier in healthcare 53
- 5. Recent advancement of machine learning and deep learning in the field of healthcare system 77
- 6. Predicting psychological disorders using machine learning 99
- 7. Automatic analysis of cardiovascular diseases using EMD and support vector machines 131
- 8. Machine learning approach for exploring computational intelligence 153
- 9. Classification of various image fusion algorithms and their performance evaluation metrics 179
- 10. Recommender system in healthcare: an overview 199
- 11. Dense CNN approach for medical diagnosis 217
- 12. Impact of sentiment analysis tools to improve patients’ life in critical diseases 239
- 13. A fuzzy entropy-based multilevel image thresholding using neural network optimization algorithm 253
- 14. Machine learning in healthcare 277
- 15. Computational health informatics using evolutionary-based feature selection 309
- Index 329
