A Neural Networks and Rules Based System used to Find a Correlations, and Therefore Try to Maintain the State of Health, in Patient Affect by Multiple Sclerosis at the Origins of Well-Being at a Certain Time Daily Time with Clinical and the Musculoskeletal Exams.
In this work we will explore the fact that according to recent studies published in specialist medical journals, during the early morning sleep-wake hours, during the early morning sleep-wake hours. The idea we propose is the clinical-musculoskeletal monitoring of a certain number of MS patients for twenty-four hours so that they can collect data to train a neural network with an appropriate learning algorithm suitable for the purpose. The patients will first be hypothesized as such in the present work and in the subsequent ones a virtual patient will be developed, only in the last step will real patients be used whose data will be housed in the virtual container necessary to be able to present it to the learning system.
