| Artificial Neural Networks in Medicine and Biology: Proceedings of the Annimab-1 Conference, Göteborg, Sweden, 13-16 May 2000 2000 Edition Contributor(s): Malmgren, H. (Editor), Borga, M. (Editor), Niklasson, L. (Editor) |
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ISBN: 1852332891 ISBN-13: 9781852332891 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: April 2000 Annotation: This volume comprises a selection of papers presented at ANNIMAB-1, the first conference to focus specifically on the topics of ANNs in medicine and biology. It covers three main areas: The medical applications of ANNs, such as in diagnosis and outcome prediction, medical image analysis, and medical signal processing; The uses of ANNs in biology outside clinical medicine, such as in data analysis, in molecular biology, and in simulations of biological systems; The theoretical aspects of ANNs, examining recent developments in learning algorithms and the possible role of ANNs in the medical decision process. Summarising the state-of-the-art and analysing the relationship between ANN techniques and other available methods, it also points to possible future biological and medical uses of ANNs. Essential reading for all neural network theorists, it will also be of interest to biologists and physicians with an interest in modelling and advanced statistical techniques. |
| Additional Information |
| BISAC Categories: - Medical | Family & General Practice - Computers | Software Development & Engineering - Systems Analysis & Design - Medical | Administration |
| Dewey: 610.285 |
| LCCN: 00026566 |
| Series: Perspectives in Neural Computing |
| Physical Information: 0.73" H x 6.14" W x 9.21" (1.09 lbs) 334 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: - Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. - Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. - Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches. |