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Artificial Neural Networks in Medicine and Biology: Proceedings of the Annimab-1 Conference  Goteborg  Sweden  13 16 May 2000 (English) (Paperback): Book by Helge Malmgren Annimab-1 Conference H Malmgren L Niklasson Lars F Niklasson M Borga

Artificial Neural Networks in Medicine and Biology: Proceedings of the Annimab-1 Conference Goteborg Sweden 13 16 May 2000 (English) (Paperback)

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ISBN: 9781852332891    Publisher: Springer London Year of publishing: 2000     Format:  Paperback No of Pages: 334        Language: English
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...Read more
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.
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