Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Patricia Melin, Juan Carlos Guzmán, German Prado-Arechiga (Autoren)

Buch | Softcover

IX, 103 Seiten

2020 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-60480-6 (ISBN)

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This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and help to have an improvement in diagnosis accuracy considering a clinical monitoring of 24 hours or more of the patient.

In this book, tests were made with different architectures proposed in the different modules of the proposed model. First, it was possible to obtain the architecture of the fuzzy classifiers for the level of blood pressure and for the pressure load, and these were optimized with the different bio-inspired algorithms (Genetic Algorithm and Chicken Swarm Optimization). Secondly, we tested with a local database of 300 patients and good results were obtained.

It is worth mentioning that this book is an important part of the proposed generalmodel; for this reason, we consider that these modules have a good performance in a particular way, but it is advisable to perform more tests once the general model is completed.

Erscheinungsdatum	29.10.2020
Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Computational Intelligence
Zusatzinfo	IX, 103 p. 77 illus., 57 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	189 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Technik ► Medizintechnik
Schlagworte	bio-inspired algorithms • Classification in Medical Diagnosis • Computational Intelligence • Fuzzy Logic • Fuzzy Systems • Intelligent Techniques • Medical Diagnosis • Neural networks • Neuro Fuzzy Hybrid Models
ISBN-10	3-030-60480-2 / 3030604802
ISBN-13	978-3-030-60480-6 / 9783030604806
Zustand	Neuware