J. Lpez Herrera (Spain)
Modelling, simulation, artificial intelligence, Diagnostics, systems experts, Shannon entropy, clinical analysis and neural networks
In this article, the viability of Shannon entropy as a metric for diagnosing an illness based on analytic tests of patients. In this case, the analysis measures biological variability of the kidney after a transplant [1]. The purpose of this article is to show a methodology based on Shannon entropy [2] that allows for diagnosing a possible graft loss in patients who have had a kidney transplant and helps to make a better medical decision to improve the life of the transplant patient. The patient data was provided by the nephrology department of the Hospital del Mar of Barcelona.
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