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Artificial Neural Networks in Medicine and Biology : Proceedings of the Annimab-1 Conference, Goteborg, Sweden, 13-16 May 2000 - H. Malmgren

Artificial Neural Networks in Medicine and Biology

Proceedings of the Annimab-1 Conference, Goteborg, Sweden, 13-16 May 2000

By: H. Malmgren (Editor), M. Borga (Editor), L. Niklasson (Editor)

Paperback Published: 12th April 2000
ISBN: 9781852332891
Number Of Pages: 334

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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.

Protein [beta]-Sheet Partner Prediction by Neural Networksp. 3
ART Neural Networks for Medical Data Analysis and Fast Distributed Learningp. 10
Modelling Uncertainty in Biomedical Applications of Neural Networksp. 18
Neural Computation in Medicine: Perspectives and Prospectsp. 26
Discriminating Gourmets, Lovers and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roachesp. 37
An Unsupervised Learning Method that Produces Organized Representations from Real Informationp. 45
On Forgetful Attractor Network Memoriesp. 54
Outstanding Issues for Clinical Decision Support with Neural Networksp. 63
Cancerous Liver Tissue Differentiation Using LVQp. 75
Quantification of Diabetic Retinopathy Using Neural Networks and Sensitivity Analysisp. 81
Internet Based Artificial Neural Networks for the Interpretation of Medical Imagesp. 87
Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Networkp. 93
Applications of Optimizing Neural Networks in Medical Image Registrationp. 99
A Learning by Sample Approach for the Detection of Features in Medical Imagesp. 105
Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensionsp. 111
Mutual Control Neural Networks for Sleep Arousal Detectionp. 119
Extraction of Sleep-Spindles from the Electroencephalogram (EEG)p. 125
Analyzing Brain Tumor Related EEG Signals with ICA Algorithmsp. 131
Isolating Seizure Activity in the EEG with Independent Component Analysisp. 137
Seizure Detection with the Self-Organising Feature Mapp. 143
Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Mapsp. 149
Neural Network Predictions of Outcome from Posteroventral Pallidotomyp. 157
Survival Analysis: A Neural-Bayesian Approachp. 162
Identifying Discriminant Feature in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Techniquep. 168
Classifying Pigmented Skin Lesions with Machine Learning Methodsp. 174
An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networksp. 180
A New Artificial Neural Network Method for the Interpretation of ECGsp. 186
Use of Kohonen Neural Network to Characterize Respiratory Patients for Medical Interventionp. 192
Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networksp. 197
Artificial Neural Networks to Predict Postoperative Nausea and Vomitingp. 203
Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networksp. 209
Bayesian Neural Networks Used to Find Adverse Drug Combinations and Drug Related Syndromesp. 215
Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Mapsp. 221
Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesiap. 229
A Hybrid Classification Tree and Artificial Neural Network Model for Predicting the In Vitro Response of the Human Immunodeficiency Virus (HIV1) to Anti-Viral Drug Therapyp. 235
Neural Unit Sensitive to Modulationp. 241
On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracyp. 247
A Simulation Model for Activated Sludge Process Using Fuzzy Neural Networkp. 253
A General Method for Combining Predictors Tested on Protein Secondary Structure Predictionp. 259
A Three-Neuron Model of Information Processing During Bayesian Foragingp. 265
Sensorimotor Sequential Learning by a Neural Network Based on Redefined Hebbian Learningp. 271
On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Releasep. 277
Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Imagesp. 283
Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibition of Renshaw Cellsp. 289
Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D-QSAR Studyp. 295
Case-Based Explanation for Artificial Neural Netsp. 303
Double Growing Neural Gas for Disease Diagnosisp. 309
The Use of a Knowledge Discovery Method for the Development of a Multi-Layer Perceptron Network that Classifies Low Back Pain Patientsp. 315
Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performancep. 321
Particle Swarm Optimisation in Feedforward Neural Networkp. 327
Author Indexp. 333
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781852332891
ISBN-10: 1852332891
Series: Perspectives in Neural Computing
Audience: General
Format: Paperback
Language: English
Number Of Pages: 334
Published: 12th April 2000
Publisher: SPRINGER VERLAG GMBH
Country of Publication: GB
Dimensions (cm): 23.39 x 15.6  x 1.85
Weight (kg): 0.49

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