Artificial Intelligence in Healthcare
Series: Advanced Technologies and Societal Change;
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104 391 Ft (99 420 Ft + 5% VAT)
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104 391 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer
- Date of Publication 30 October 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811662676
- Binding Paperback
- No. of pages150 pages
- Size 235x155 mm
- Weight 256 g
- Language English
- Illustrations 19 Illustrations, black & white; 44 Illustrations, color 458
Categories
Short description:
This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
MoreLong description:
This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
MoreTable of Contents:
Geospatial Modelling and Trend Analysis of Coronavirus outbreaks using Sentiment Analysis and Intelligent Algorithms.- A Particle Swarm Optimization based ANN Predictive Model for Statistical Detection of COVID-19.- Identifying Malignancy of Lung Cancer using Deep Learning Concepts.- Protecting ECG Signals with Hybrid Swarm Intelligence Algorithm.- Human Eye Vision Algorithm (HEVA): A novel approach for the Optimization of Combinatorial Problems.
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