Editors: Massimo Buscema, Enzo Grossi

Artificial Adaptive Systems in Medicine: New Theories and Models for New Applications in the Real World

eBook: US $24 Special Offer (PDF + Printed Copy): US $100
Printed Copy: US $89
Library License: US $96
ISBN: 978-1-60805-392-6 (Print)
ISBN: 978-1-60805-042-0 (Online)
Year of Publication: 2009
DOI: 10.2174/97816080504201090101

Introduction

This Ebook covers the emerging and most important theories underlying artificial intelligence applications in a variety of medical problems. It is written for physicians, researchers, engineers, statisticians and advanced students who wish to increase their familiarity with different topics of modern mathematics related to predictive medicine. Both theoretical and applied aspects are presented in this book. Many illustrative mathematical explanations and worked-out examples are given. This book features contributions by nine noted experts from leading medical centers worldwide, which should prove to be of considerable interest to the readers.

Preface

- Pp. i
Massimo Buscema and Enzo Grossi
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Foreword

- Pp. ii-iii (2)
William J. Tastle
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Contributors

- Pp. iv
Massimo Buscema and Enzo Grossi
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The General Philosophy of Artificial Adaptive Systems

- Pp. 1-4 (4)
Massimo Buscema

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A Brief Introduction to Artificial Neural Networks

- Pp. 5-11 (7)
Massimo Buscema

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A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm

- Pp. 12-24 (13)
Massimo Buscema and Massimiliano Capriotti

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Auto-Contractive Maps, H Function and Maximally Regular Graph - Theory

- Pp. 25-41 (17)
Massimo Buscema

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Auto Contractive Maps, H Function and Maximally Regular Graph - Application

- Pp. 42-47 (6)
Cathy Helgason, Massimo Buscema and Enzo Grossi

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J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging - Theory

- Pp. 48-59 (12)
Massimo Buscema

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J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging - Application

- Pp. 60-68 (9)
Enzo Grossi and Massimo Buscema

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The Topological Weighted Centroid, and the Semantic of the Physical Space - Theory

- Pp. 69-78 (10)
Massimo Buscema, Marco Breda and Luigi Catzola

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The Topological Weighted Centroid and the Semantic of the Physical Space - Application

- Pp. 79-89 (11)
Enzo Grossi, Massimo Buscema and Tom Jefferson

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IFAST: Implicit Function as Squashing Time for EEG Analysis∗ - Theory

- Pp. 90-103 (14)
Massimo Buscema, Paolo Maria Rossini, Enzo Grossi and Claudio Babiloni

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IFAST: Implicit Function as Squashing Time for EEG Analysis - Application

- Pp. 104-113 (10)
Paolo Maria Rossini, Massimo Buscema and Enzo Grossi

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Index

- Pp. 114-115 (2)
Massimo Buscema and Enzo Grossi
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