Deep reinforcement learning-based control of chemo-drug dose in cancer treatment

•Proposing a deep RL-based controller for cancer chemotherapy, which handles states and action in infinite space.•The proposed approach does not need to have a mathematical model of the system, it just needs to have tumor volume.•Providing an adaptive control technique to respond to the special cond...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2024-01, Vol.243, p.107884-107884, Article 107884
Hauptverfasser:	Mashayekhi, Hoda, Nazari, Mostafa, Jafarinejad, Fatemeh, Meskin, Nader
Format:	Artikel
Sprache:	eng
Schlagworte:	Active drug dosing Actor-critic Cancer chemotherapy Deep reinforcement learning Optimal control Twin-delayed deep deterministic policy gradient
Online-Zugang:	Volltext
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