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.
| ISBN: | 9783319611488 |
| Publication date: | 12th July 2017 |
| Author: | Patricia Melin, German Prado-Arechiga |
| Publisher: | Springer International Publishing AG |
| Format: | Paperback |
| Pagination: | 88 pages |
| Series: | SpringerBriefs in Computational Intelligence |
| Genres: |
Artificial intelligence Biomedical engineering Computer applications in industry and technology |