Artificial Neural Networks in Medicine and Biology

Table of Contents

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   Book Overview
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   Chapter 1 Protein β-Sheet Partner Prediction by Neural Networks
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   Chapter 2 ART Neural Networks for Medical Data Analysis and Fast Distributed Learning
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   Chapter 3 Modelling Uncertainty in Biomedical Applications of Neural Networks
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   Chapter 4 Neural Computation in Medicine: Perspectives and Prospects
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   Chapter 5 Discriminating Gourmets, Lovers, and Enophiles? Neural Nets Tell All About Locusts, Toads, and Roaches
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   Chapter 6 An Unsupervised Learning Method that Produces Organized Representations from Real Information
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   Chapter 7 On Forgetful Attractor Network Memories
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   Chapter 8 Outstanding Issues for Clinical Decision Support with Neural Networks
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    Chapter 9 Cancerous Liver Tissue Differentiation Using LVQ
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    Chapter 10 Quantification of Diabetic Retinopathy using Neural Networks and Sensitivity Analysis
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    Chapter 11 Internet Based Artificial Neural Networks for the Interpretation of Medical Images
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    Chapter 12 Segmentation of Magnetic Resonance Images According to Contrast Agent Uptake Kinetics Using a Competitive Neural Network
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    Chapter 13 Applications of Optimizing Neural Networks in Medical Image Registration
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    Chapter 14 A Learning by Sample Approach for the Detection of Features in Medical Images.
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    Chapter 15 Neural Network Based Classification of Cell Images via Estimation of Fractal Dimensions
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    Chapter 16 Mutual Control Neural Networks for Sleep Arousal Detection
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    Chapter 17 Extraction of Sleep-Spindles from the Electroencephalogram (EEG)
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    Chapter 18 Analyzing Brain Tumor related EEG Signals with ICA Algorithms
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    Chapter 19 Isolating Seizure Activity in the EEG with Independent Component Analysis
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    Chapter 20 Seizure Detection with the Self-Organising Feature Map
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    Chapter 21 Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps
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    Chapter 22 Neural Network Predictions of Outcome from Posteroventral Pallidotomy
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    Chapter 23 Survival Analysis: A Neural-Bayesian Approach
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    Chapter 24 Identifying Discriminant Features in the Histopathology Diagnosis of Inflammatory Bowel Disease Using a Novel Variant of the Growing Cell Structure Network Technique
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    Chapter 25 Classifying Pigmented Skin Lesions with Machine Learning Methods
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    Chapter 26 An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks
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    Chapter 27 A New Artificial Neural Network Method for the Interpretation of ECGs
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    Chapter 28 Use of a Kohonen Neural Network to Characterize Respiratory Patients for Medical Intervention
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    Chapter 29 Determination of Microalbuminuria and Increased Urine Albumin Excretion by Immunoturbidimetric Assay and Neural Networks
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    Chapter 30 Artificial Neural Networks to Predict Postoperative Nausea and Vomiting
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    Chapter 31 Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks
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    Chapter 32 Bayesian Neural Networks used to Find Adverse Drug Combinations and Drug Related Syndromes
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    Chapter 33 Monitoring of Physiological Parameters of Patients and Therapists During Psychotherapy Sessions Using Self-Organizing Maps
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    Chapter 34 Neuronal Network Modelling of the Somatosensory Pathway and its Application to General Anaesthesia
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    Chapter 35 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
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    Chapter 36 Neural Unit Sensitive to Modulation
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    Chapter 37 On Methods for Combination of Results from Gene-Finding Programs for Improved Prediction Accuracy
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    Chapter 38 A Simulation Model for Activated Sludge Process Using Fuzzy Neural Network
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    Chapter 39 A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction
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    Chapter 40 A Three-Neuron Model of Information Processing During Bayesian Foraging
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    Chapter 41 Sensorimotor Sequential Learning by a Neural Network Based on Redefined Hebbian Learning
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    Chapter 42 On Synaptic Plasticity: Modelling Molecular Kinases involved in Transmitter Release
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    Chapter 43 Self-Organizing Networks for Mapping and Clustering Biological Macromolecules Images
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    Chapter 44 Neural Network Model for Muscle Force Control Based on the Size Principle and Recurrent Inhibition of Renshaw Cells
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    Chapter 45 Prediction of Photosensitizers Activity in Photodynamic Therapy Using Artificial Neural Networks: A 3D—QSAR Study
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    Chapter 46 Case-Based Explanation for Artificial Neural Nets
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    Chapter 47 Double Growing Neural Gas for Disease Diagnosis
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    Chapter 48 The Use of a Knowledge Discovery Method for the Development of a Multi-layer Perceptron Network that Classifies Low Back Pain Patients
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    Chapter 49 Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance
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    Chapter 50 Particle Swarm Optimisation in Feedforward Neural Network