Clinical Applications of Artificial Neural Networks

Front Cover
Richard Dybowski, Vanya Gant
Cambridge University Press, 2001 - Mathematics - 368 pages
0 Reviews
Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this cutting-edge volume. In addition to looking at new and forthcoming applications the book looks forward to exciting future prospects on the horizon. The volume also examines ethical and legal concerns about the use of "black-box" systems as decision aids in medicine. This eclectic collection of chapters provides an exciting overview of current and future prospects for harnessing the power of artificial neural networks in the investigation and treatment of disease.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Introduction
1
Part I Applications
29
Part II Prospects
173
Part III Theory
235
Part IV Ethics and clinical prospects
327
Index
357
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information