Melin, Patricia.
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension [electronic resource] / by Patricia Melin, German Prado-Arechiga. - 1st ed. 2018. - VIII, 88 p. 48 illus., 47 illus. in color. online resource. - SpringerBriefs in Computational Intelligence, 2625-3712 . - SpringerBriefs in Computational Intelligence, .
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
Computational intelligence.
Biomedical engineering.
Medical informatics.
Computational Intelligence.
Biomedical Engineering and Bioengineering.
Health Informatics.
Q342
006.3
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension [electronic resource] / by Patricia Melin, German Prado-Arechiga. - 1st ed. 2018. - VIII, 88 p. 48 illus., 47 illus. in color. online resource. - SpringerBriefs in Computational Intelligence, 2625-3712 . - SpringerBriefs in Computational Intelligence, .
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
Computational intelligence.
Biomedical engineering.
Medical informatics.
Computational Intelligence.
Biomedical Engineering and Bioengineering.
Health Informatics.
Q342
006.3