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Book Categories |
List of contributors | ||
1 | Introduction | 1 |
Pt. I | Applications | 29 |
2 | Artificial neural networks in laboratory medicine | 31 |
3 | Using artificial neural networks to screen cervical smears: how new technology enhances health care | 81 |
4 | Neural network analysis of sleep disorders | 90 |
5 | Artificial neural networks for neonatal intensive care | 102 |
6 | Artificial neural networks in urology: applications, feature extraction and user implementations | 120 |
7 | Artificial neural networks as a tool for whole organism fingerprinting in bacterial taxonomy | 143 |
Pt. II | Prospects | 173 |
8 | Recent advances in EEG signal analysis and classification | 175 |
9 | Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decision support? | 192 |
10 | Evolving artificial neural networks | 223 |
Pt. III | Theory | 235 |
11 | Neural networks as statistical methods in survival analysis | 237 |
12 | A review of techniques for extracting rules from trained artificial neural networks | 256 |
13 | Confidence intervals and prediction intervals for feedforward neural networks | 298 |
Pt. IV | Ethics and clinical prospects | 327 |
14 | Artificial neural networks: practical considerations for clinical application | 329 |
Index | 357 |
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