Computational Intelligence Processing in Medical Diagnosis

Manfred Schmitt, Horia-Nicolai Teodorescu, Ashlesha Jain, Ajita Jain, Sandhya Jain (Herausgeber)

Buch | Softcover

XX, 496 Seiten

2010 | 1. Softcover reprint of hardcover 1st ed. 2002
Physica (Verlag)
978-3-7908-2509-1 (ISBN)

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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.

Prof. Dr. Manfred Schmitt ist Lehrstuhlinhaber für Diagnostik, Differentielle und Persönlichkeitspsychologie, Universität Koblenz-Landau.

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.

Erscheint lt. Verlag	21.10.2010
Reihe/Serie	Studies in Fuzziness and Soft Computing
Zusatzinfo	XX, 496 p.
Verlagsort	Heidelberg
Sprache	englisch
Maße	155 x 235 mm
Gewicht	769 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Bioinformatik
	Medizin / Pharmazie
	Technik ► Medizintechnik
Schlagworte	Artificial Intelligence • biomedical engineering • classification • Computational Intelligence • Data Mining • Diagnosis • Evolution • Evolutionary Computing • Expert System • fuzzy • fuzzy system • Fuzzy Systems • Intelligence • knowledge base • Medical Diagnosis • Medical Prognosis • Medicine • Neural networks
ISBN-10	3-7908-2509-3 / 3790825093
ISBN-13	978-3-7908-2509-1 / 9783790825091
Zustand	Neuware