Artificial Intelligence in Healthcare / edited by Lalit Garg, Sebastian Basterrech, Chitresh Banerjee, Tarun K. Sharma

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advanced Technologies and Societal ChangePublisher: Singapore : Springer Singapore, 2022Publisher: Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(X, 150 p. 63 illus., 44 illus. in color.)ISBN:

9789811662652

Subject(s):

Additional physical formats: 9789811662645 | 9789811662669 | 9789811662676 | Erscheint auch als: 9789811662645 Druck-Ausgabe | Erscheint auch als: 9789811662669 Druck-Ausgabe | Erscheint auch als: 9789811662676 Druck-AusgabeDOI: DOI: 10.1007/978-981-16-6265-2Online resources:

Summary: 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.Summary: 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.PPN: PPN: 177586524XPackage identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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