Computational Intelligence Processing in Medical Diagnosis de Manfred Schmitt

Computational Intelligence Processing in Medical Diagnosis: Studies in Fuzziness and Soft Computing, cartea 96

Editat de Manfred Schmitt, Horia-Nicolai Teodorescu, Ashlesha Jain, Ajita Jain, Sandhya Jain

en Limba Engleză Hardback – 25 mar 2002

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

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Specificații

ISBN-13: 9783790814637
ISBN-10: 3790814636
Pagini: 520
Ilustrații: XX, 496 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.88 kg
Ediția:2002
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Introduction.- Computational intelligence techniques in medical decision making: the data mining perspective.- Internet-based decision support for evidence-based medicine.- Integrating kernel methods into a knowledge-based approach to evidence-based medicine.- Case-based reasoning prognosis for temporal courses.- Pattern recognition in intensive care online monitoring.- Artificial neural network models for timely assessment of trauma complication risk.- Artificial neural networks in medical diagnosis.- The application of neural networks in the classification of the electrocardiogram.- Neural network predictions of significant coronary artery stenosis in women.- A modular neural network system for the analysis of nuclei in histopathological sections.- Septic shock diagnosis by neural networks and rule based systems.- Monitoring depth of anesthesia.- Combining evolutionary and fuzzy techniques in medical diagnosis.- Genetic algorithms for feature selection in computer-aided diagnosis.

Caracteristici

Fast and friendly-managed introduction to methods of computational intelligence applied to medicine Easy to read without compromising the scientific content Includes supplementary material: sn.pub/extras

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