Computational Intelligence in Healthcare Applications (eBook, ePUB)

Redaktion: Agrawal, Rajeev; Mehrotra, Rajat; Sneha, Sweta; Anand, R. S.; Ansari, M. A.

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 376
• Erscheinungstermin: 14. Juli 2022
• Englisch
• ISBN-13: 9780323993746
• Artikelnr.: 64356059

Inhaltsangabe

1. Mathematical Modeling and its significance in the field of Medical
Imaging2. Modeling of Healthcare services and its influence on human
health3. Health care applications design and development4. Predictive
modeling based on Artificial Intelligence and Deep Learning5. Smart health
care /wearable devices and their applications6. Detection and
Classification of different medical disorders using Artificial Intelligence
and Deep Learning techniques7. Prediction of neurological disorders using
MRI and other imaging techniques8. Evidence-based predictive modeling using
soft computing9. Decision support system for clinical applications using AI
and other learning techniques10. Knowledge-based management system for
health care services and usage11. Computer-aided diagnostic for clinical
inferences12. Pervasive and ubiquitous techniques in healthcare