Computational Intelligence for Machine Learning and Healthcare Informatics / / ed. by Rajshree Srivastava, Pradeep Kumar Mallick, Siddharth Swarup Rautaray, Manjusha Pandey.

• Superior document: Title is part of eBook package: De Gruyter DG Ebook Package English 2020
• MitwirkendeR: Bansal, Shweta,; Bharti, Vishal,; Bhoi, Dhaval,; Choubey, Arvind,; Ekatpure, Purva,; Gaba, Divya,; Gupta, Medha,; Jana, Premananda,; Joshi, Dhanashri P.,; Kaur, Prabhsimar,; Kole, Dipak K.,; Kumar, Yogesh,; Kumari, Sneha,; Kumari, Sweta,; Lourdes Sánchez, María de,; Luis O., Gónzalez-Salcedo,; Mahajan, Manish,; Maji, Srabanti,; Mittal, Nitin,; Mohanty, Vihal,; Mukherjee, Saswati,; Naveenkumar, J.,; Raj, Sandeep,; Ramaswamy, Vanaja,; Rodríguez, Andrea,; Sarkar, Dhrubasish,; Selvanambi, Ramani,; Shaik, Daiyaan Ahmed,; Shivam,,; Singh, Harbinder,; Singh, Simrandeep,; Sinha, Shweta,; Srivastva, Rajshree,; Thakkar, Amit,; Thakur, Diksha,; Will, Adrián,
• HerausgeberIn: Kumar Mallick, Pradeep,; Pandey, Manjusha,; Srivastava, Rajshree,; Swarup Rautaray, Siddharth,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Series: Intelligent Biomedical Data Analysis , 1
• Physical Description: 1 online resource (XV, 331 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110648195; 9783110696288; 9783110696271; 9783110659061; 9783110704716; 9783110704518; 9783110704815; 9783110704617
• ISSN: 2629-7140
• DOI: 10.1515/9783110648195
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Rajshree Srivastava, Pradeep Kumar Mallick, Siddharth Swarup Rautaray, Manjusha Pandey.

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.