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  1. Bog
  2. Sygepleje og paramedicinske fag
  3. Biomedicinsk teknik

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Af: Juan Carlos Guzman, German Prado-Arechiga, Patricia Melin Engelsk Paperback

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Af: Juan Carlos Guzman, German Prado-Arechiga, Patricia Melin Engelsk Paperback
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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 general model; 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.

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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 general model; 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.

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Produktdetaljer
Sprog: Engelsk
Sider: 103
ISBN-13: 9783030604806
Indbinding: Paperback
Udgave:
ISBN-10: 3030604802
Kategori: Biomedicinsk teknik
Udg. Dato: 28 okt 2020
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 28 okt 2020
Forfatter(e): Juan Carlos Guzman, German Prado-Arechiga, Patricia Melin
Forfatter(e) Juan Carlos Guzman, German Prado-Arechiga, Patricia Melin

Kategori Biomedicinsk teknik

ISBN-13 9783030604806

Sprog Engelsk

Indbinding Paperback

Sider 103

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 28 okt 2020

Oplagsdato 28 okt 2020

Forlag Springer Nature Switzerland AG

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