New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension [[electronic resource] /] / by Patricia Melin, German Prado-Arechiga
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| Autore: |
Melin Patricia
|
| Titolo: |
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension [[electronic resource] /] / by Patricia Melin, German Prado-Arechiga
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Edizione: | 1st ed. 2018. |
| Descrizione fisica: | 1 online resource (88 pages) : illustrations, tables |
| Disciplina: | 616.132075 |
| Soggetto topico: | Computational intelligence |
| Biomedical engineering | |
| Health informatics | |
| Computational Intelligence | |
| Biomedical Engineering and Bioengineering | |
| Health Informatics | |
| Persona (resp. second.): | Prado-ArechigaGerman |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
| Nota di contenuto: | From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension |
| ISBN: | 3-319-61149-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910299900703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3704