Artificial Neural Networks in Medicine and Biology Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13–16 May 2000

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-discipli...

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Bibliographic Details
Other Authors: Malmgren, H. (Editor), Borga, M. (Editor), Niklasson, L. (Editor)
Format: eBook
Language:English
Published: London Springer London 2000, 2000
Edition:1st ed. 2000
Series:Perspectives in Neural Computing
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Identifying Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Technique
  • Classifying Pigmented Skin Lesions with Machine Learning Methods
  • An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks
  • A New Artificial Neural Network Method for the Interpretation of ECGs
  • Use of a Kohonen Neural Network to Characterize Respiratory Patients for Medical Intervention
  • Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networks
  • Artificial Neural Networks to Predict Postoperative Nausea and Vomiting
  • Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks
  • Bayesian Neural Networks Used to Find Adverse Drug Combinations and Drug Related Syndromes
  • Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps
  • Applications of Optimizing Neural Networks in Medical Image Registration
  • A Learning by Sample Approach for the Detection of Features in Medical Images
  • Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensions
  • Signal Processing in Medicine
  • Mutual Control Neural Networks for Sleep Arousal Detection
  • Extraction of Sleep-Spindles from the Electroencephalogram (EEG)
  • Analyzing Brain Tumor Related EEG Signals with ICA Algorithms
  • Isolating Seizure Activity in the EEG with Independent Component Analysis
  • Seizure Detection with the Self-Organising Feature Map
  • Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps
  • Clinical Diagnosis and Medical Decision Support
  • Neural Network Predictions of Outcome from Posteroventral Pallidotomy
  • SurvivalAnalysis: A Neural-Bayesian Approach
  • Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibiton of Renshaw Cells
  • Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D-QSAR Study
  • Learning Methods and Hybrid Algorithms
  • Case-Based Explanation for Artificial Neural Nets
  • Double Growing Neural Gas for Disease Diagnosis
  • The Use of a Knowledge Discovery Method for the Development of a Multi-Layer Perceptron Network that Classifies Low Back Pain Patients
  • Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance
  • Particle Swarm Optimisation in Feedforward Neural Network
  • Author Index
  • Invited Presentations
  • Protein ?-Sheet Partner Prediction by Neural Networks
  • ART Neural Networks for Medical Data Analysis and Fast Distributed Learning
  • Modelling Uncertainty in Biomedical Applications of Neural Networks
  • Neural Computation in Medicine: Perspectives and Prospects
  • Discriminating Gourmets, Lovers and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches
  • An Unsupervised Learning Method that Produces Organized Representations from Real Information
  • On Forgetful Attractor Network Memories
  • Outstanding Issues for Clinical Decision Support with Neural Networks
  • Medical Image Analysis
  • Cancerous Liver Tissue Differentiation Using LVQ
  • Quantification of Diabetic Retinopathy Using Neural Networks and Sensitivity Analysis
  • Internet Based Artificial Neural Networks for the Interpretation of Medical Images
  • Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Network
  • Biomolecular Applications and Biological Modelling
  • Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesia
  • 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 Therapy
  • Neural Unit Sensitive to Modulation
  • On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracy
  • A Simulation Model for Activated Sludge Process Using Fuzzy Neural Network
  • A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction
  • A Three-Neuron Model of Information Processing During Bayesian Foraging
  • Sensorimotor Sequential Learning by a Neural Network Based onRedefined Hebbian Learning
  • On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release
  • Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Images