Melin, Patricia. <br/><br/>
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, .
<br/><br/>From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319611495 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-61149-5  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational intelligence.<br/>Biomedical engineering.<br/>Medical informatics.<br/>Computational Intelligence.<br/>Biomedical Engineering and Bioengineering.<br/>Health Informatics.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3