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Computational Intelligence and Its Applications in Healthcare 1st Edition by Jitendra Kumar Verma, Sudip Paul, Prashant Johri 0128206047 9780128206041

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Computational Intelligence and Its Applications in Healthcare 1st Edition by Jitendra Kumar Verma, Sudip Paul, Prashant Johri – Ebook PDF Instant Download/Delivery: 0128206047, 978-0128206041

 

 

Product details:

ISBN 10: 0128206047
ISBN 13: 978-0128206041
Author: Jitendra Kumar Verma, Sudip Paul, Prashant Johri

Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they’re flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual limitations and finite computation. Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare.

  • Provides coverage of fuzzy logic, neural networks, evolutionary computation, learning theory, probabilistic methods, telemedicine, and robotics applications
  • Includes coverage of artificial intelligence and biological applications, soft computing, image and signal processing, and genetic algorithms
  • Presents the latest developments in computational methods in healthcare
  • Bridges the gap between obsolete literature and current literature

Table of contents:

1: The impact of Internet of Things and data semantics on decision making for outpatient monitoring
2: Deep-learning approaches for health care: Patients in intensive care
3: Brain MRI image segmentation using nature-inspired Black Hole metaheuristic clustering approach
4: Blockchain for public health: Technology, applications, and a case study
5: Compression and multiplexing of medical images using optical image processing
6: Analysis of skin lesions using machine learning techniques
7: Computational intelligence using ontology—A case study on the knowledge representation in a clinical decision support system
8: Neural network-based abnormality detection for electrocardiogram time signals
9: Machine learning approaches for acetic acid test based uterine cervix image analysis
10: Convolutional neural network for biomedical applications
11: Alzheimer’s disease classification using deep learning
12: Diabetic retinopathy identification using autoML
13: Knowledge-based systems in medical applications
14: REMOVED: Convolution neural network-based feature learning model for EEG-based driver alert/drowsy state detection
15: Analysis on the prediction of central line-associated bloodstream infections (CLABSI) using deep neural network classification
 

 

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