New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
Melin, Patricia 1962-
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension by Patricia Melin, German Prado-Arechiga. - 1 recurso en línea (VIII, 88 páginas 48 ilustraciones, 47 ilustraciones a color) - SpringerBriefs in Computational Intelligence 2625-3704 Engineering (Springer-11647) .
From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
9783319611495
10.1007/978-3-319-61149-5 doi
Hipertensión
Ingeniería biomédica
RC685.H8 / M455 2018 EB
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension by Patricia Melin, German Prado-Arechiga. - 1 recurso en línea (VIII, 88 páginas 48 ilustraciones, 47 ilustraciones a color) - SpringerBriefs in Computational Intelligence 2625-3704 Engineering (Springer-11647) .
From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
9783319611495
10.1007/978-3-319-61149-5 doi
Hipertensión
Ingeniería biomédica
RC685.H8 / M455 2018 EB