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Updated: May 24, 2025

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在虚拟CKD患者中,学习启用了控制最佳EPO剂量:出血和错过剂量的情况

Affan Affan, Tamer Inanc

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    强化学习 (RL) 和自适应模型预测控制 (AMPC) 等无模型方法为慢性病 (CKD) 患者提供精确的红素 (EPO) 剂量,即使有出血或错过剂量. DQN-RL是有效的,但数据密集型.

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