Clinical Applications of Artificial Neural Networks
Clinical Applications of Artificial Neural Networks
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Résumé
Artificial neural networks provide a powerful tool to help doctors analyse, 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 in this volume.
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Clinical Applications of Artificial Neural Networks by Richard Dybowski
Artificial neural networks provide a powerful tool to help doctors analyse, 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 in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease.
'.. a useful and thought-provoking work which extends thoughts about brain function to deal with everyday decision-making.' Doctors.net
| SKU | Non disponible |
| ISBN 13 | 9780521001335 |
| ISBN 10 | 0521001331 |
| Titre | Clinical Applications of Artificial Neural Networks |
| Auteur | Richard Dybowski |
| État | Non disponible |
| Type de reliure | Paperback |
| Éditeur | Cambridge University Press |
| Année de publication | 2007-07-12 |
| Nombre de pages | 380 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |