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This book is focused on the use of intelligent techniques, such as
fuzzy logic, neural networks and bio-inspired algorithms, and their
application in medical diagnosis. The main idea is that the
proposed method may be able to adapt to medical diagnosis problems
in different possible areas of the medicine and help to have an
improvement in diagnosis accuracy considering a clinical monitoring
of 24 hours or more of the patient. In this book, tests were made
with different architectures proposed in the different modules of
the proposed model. First, it was possible to obtain the
architecture of the fuzzy classifiers for the level of blood
pressure and for the pressure load, and these were optimized with
the different bio-inspired algorithms (Genetic Algorithm and
Chicken Swarm Optimization). Secondly, we tested with a local
database of 300 patients and good results were obtained. It is
worth mentioning that this book is an important part of the
proposed general model; for this reason, we consider that these
modules have a good performance in a particular way, but it is
advisable to perform more tests once the general model is
completed.
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