How the Artificial Intelligence With a Neural Networks and Rules Based System Are Used to Find a Correlations, and Therefore Try to Maintain Ed Improve the State of Health, in Patient Affect by Multiple Sclerosis at the Origin of the Food Taken by the Patient

Authors

  • Francesco Pia

Keywords:

food, myelinating, demyelinating

Abstract

In this work we want to address an Artificial Intelligence problem related to human nutrition, in the case of MS, which can be myelinating or demyelinating according to inputs that are to be considered "pseudo-cybernetic" at a low level and of natural origin, i.e. foods that can be myelinating or demyelinating as already mentioned. Thanks to the use of NNs, it is possible to build a system that highlights the response of the human body to natural inputs; such foods are therefore easy to find, with low costs and without dynamometers for the measurement of the musculoskeletal response of the human body that can be self-assessed by the subject who is subjected to this diet.

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How the Artificial Intelligence With a Neural Networks and Rules Based System Are Used to Find a Correlations, and Therefore Try to Maintain Ed Improve the State of Health, in Patient Affect by Multiple Sclerosis at the Origin of the Food Taken by the Patient. (2025). Global Journal of Medical Research, 24(K4), 19-25. https://medicalresearchjournal.org/index.php/GJMR/article/view/102627

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How the Artificial Intelligence With a Neural Networks and Rules Based System Are Used to Find a Correlations, and Therefore Try to Maintain Ed Improve the State of Health, in Patient Affect by Multiple Sclerosis at the Origin of the Food Taken by the Patient

Published

2025-01-04

How to Cite

How the Artificial Intelligence With a Neural Networks and Rules Based System Are Used to Find a Correlations, and Therefore Try to Maintain Ed Improve the State of Health, in Patient Affect by Multiple Sclerosis at the Origin of the Food Taken by the Patient. (2025). Global Journal of Medical Research, 24(K4), 19-25. https://medicalresearchjournal.org/index.php/GJMR/article/view/102627