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Clinical Applications of Artificial Neural Networks Book

Clinical Applications of Artificial Neural Networks
Clinical Applications of Artificial Neural Networks, Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered , Clinical Applications of Artificial Neural Networks has a rating of 4.5 stars
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Clinical Applications of Artificial Neural Networks, Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered , Clinical Applications of Artificial Neural Networks
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  • Clinical Applications of Artificial Neural Networks
  • Written by author Vanya Gant
  • Published by Cambridge University Press, December 2007
  • Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered
  • Summarizes the power of artificial neural networks in the investigation and treatment of disease.
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Authors

List of contributors
1Introduction1
Pt. IApplications29
2Artificial neural networks in laboratory medicine31
3Using artificial neural networks to screen cervical smears: how new technology enhances health care81
4Neural network analysis of sleep disorders90
5Artificial neural networks for neonatal intensive care102
6Artificial neural networks in urology: applications, feature extraction and user implementations120
7Artificial neural networks as a tool for whole organism fingerprinting in bacterial taxonomy143
Pt. IIProspects173
8Recent advances in EEG signal analysis and classification175
9Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decision support?192
10Evolving artificial neural networks223
Pt. IIITheory235
11Neural networks as statistical methods in survival analysis237
12A review of techniques for extracting rules from trained artificial neural networks256
13Confidence intervals and prediction intervals for feedforward neural networks298
Pt. IVEthics and clinical prospects327
14Artificial neural networks: practical considerations for clinical application329
Index357


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Clinical Applications of Artificial Neural Networks, Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered , Clinical Applications of Artificial Neural Networks

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