Alfred A. Jacobs

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Effective management of anemia due to renal failure poses many challenges to physicians. Individual response to treatment varies across patient populations and, due to the prolonged character of the therapy, changes over time. In this work, a Reinforcement Learning-based approach is proposed as an alternative method for individualization of drug(More)
This work presents a pharmacodynamic population analysis in chronic renal failure patients using Artificial Neural Networks (ANNs). In pursuit of an effective and cost-efficient strategy for drug delivery in patients with renal failure, two different types of ANN are applied to perform drug dose-effect modeling and their performance compared. Applied in a(More)
Individualization of drug delivery in treatment of chronic ailments is a challenge to the physician. Variability of response across patient population requires tailoring the dosing strategies to individual's needs. We have previously demonstrated the potential of reinforcement learning methods to support the physician in the management of anemia. In this(More)
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