Computational Intelligence in Healthcare Applications

Editat de Rajeev Agrawal, M. A. Ansari, R. S. Anand, Sweta Sneha, Rajat Mehrotra
Notă GoodReads:
en Limba Engleză Paperback – 15 Jul 2022
Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare.
This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field.

  • Presents advanced procedures to address and enhance available diagnostic methods
  • Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions
  • Discusses the implementation of deep learning techniques for the detection and classification of diseases
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ISBN-13: 9780323990318
ISBN-10: 0323990312
Pagini: 376
Dimensiuni: 191 x 235 mm

Public țintă

Graduate students and researchers on medical informatics
Healthcare workers and stakeholders involved in health technology


1. Mathematical Modeling and its significance in the field of Medical Imaging
2. Modeling of Healthcare services and its influence on human health
3. Health care applications design and development
4. Predictive modeling based on Artificial Intelligence and Deep Learning
5. Smart health care /wearable devices and their applications
6. Detection and Classification of different medical disorders using Artificial Intelligence and Deep Learning techniques
7. Prediction of neurological disorders using MRI and other imaging techniques
8. Evidence-based predictive modeling using soft computing
9. Decision support system for clinical applications using AI and other learning techniques
10. Knowledge-based management system for health care services and usage
11. Computer-aided diagnostic for clinical inferences
12. Pervasive and ubiquitous techniques in healthcare