Abstract
In medicine, there are a multitude of activities that depend on the doctor's expertise, especially when it comes to prescribing medication dosages, where current analyzes are not enough. A good doctor knows his patients and when prescribing medicines, he will always consider their medical history, thus personalizing the dosing. A system that could learn to customize patient dosages automatically would be helpful not only to doctors, but also to the hospital, optimizing the supply chain. This paper proposes a personalized immunosuppressive dosing system, using neural network as model.
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