Advanced Computational Intelligence Paradigms in Healthcare - 3 (Studies in Computational Intelligence, 107)

ISBN 10: 3540776613 / ISBN 13: 9783540776611

Editore: Springer, 2008

Riguardo questo articolo

Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.

Codice articolo 1LAUHV002W4F

Dati bibliografici

• Titolo: Advanced Computational Intelligence Paradigms in Healthcare - 3 (Studies in Computational Intelligence, 107)
• Editore: Springer
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540776613
• ISBN 13: 9783540776611
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

This volume details the latest state-of-the-art research on computational intelligence paradigms in healthcare in the intelligent agent environment. The book presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems. These include intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.

Dalla quarta di copertina

Advanced Computational Intelligence (CI) paradigms are increasingly used for implementing robust computer applications to foster safety, quality and efficacy in all aspects of healthcare. This research book covers an ample spectrum of the most advanced applications of CI in healthcare.

The first chapter introduces the reader to the field of computational intelligence and its applications in healthcare. In the following chapters, readers will gain an understanding of effective CI methodologies in several important topics including clinical decision support, decision making in medicine effectiveness, cognitive categorizing in medical information system as well as intelligent pervasive healthcare systems, and agent middleware for ubiquitous computing. Two chapters are devoted to imaging applications: detection and classification of microcalcifications in mammograms using evolutionary neural networks, and Bayesian methods for segmentation of medical images. The final chapters cover key aspects of healthcare, including computational intelligence in music processing for blind people and ethical healthcare agents.

This book will be of interest to postgraduate students, professors and practitioners in the areas of intelligent systems and healthcare.