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Book Categories |
| Ch. I | Overview of artificial neural networks and their applications in healthcare | 1 |
| Ch. II | A survey on various applications of artificial neural networks in selected fields of healthcare | 20 |
| Ch. III | The role of neural networks in computerized classification of the electrocardiogram | 60 |
| Ch. IV | Neural networks in ECG classification : what is next for adaptive systems? | 81 |
| Ch. V | A concept learning-based patient-adaptable abnormal ECG beat detector for long-term monitoring of heart patients | 105 |
| Ch. VI | A recurrent probabilistic neural network for EMG pattern recognition | 130 |
| Ch. VII | Myoelectric teleoperation of a dual-arm manipulator using neural networks | 154 |
| Ch. VIII | Artificial neural networks in EEG analysis | 177 |
| Ch. IX | The use of artificial neural networks for objective determination of hearing threshold using the auditory brainstem response | 195 |
| Ch. X | Movement pattern recognition using neural networks | 217 |
| Ch. XI | Neural and kernel methods for therapeutic drug monitoring | 238 |
| Ch. XII | Computational fluid dynamics and neural network for modeling and simulations of medical devices | 262 |
| Ch. XIII | Analysis of temporal patterns of physiological parameters | 284 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Allen Thompson
reviewed Neural Networks in Healthcare: Potential and Challenges on April 22, 2009
Neural Networks in Healthcare: Potential and Challenges
Most books about neural networks are silent when it comes to less obvious details of what training feedforward networks actually does, and what the result of the network represents. This book analyzes all these details by means of statistics, and consequently gives a very solid foundation for understanding neural networks. The definitive book for feedforward neural networks - extremely good! The math-heavy treatise makes it unsuitable for a beginners book, though.
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