AhnChemoEnv

该数据集是一个专为模拟化疗影响下细胞动力学的高级模拟环境，它考虑了肿瘤细胞、正常细胞、免疫细胞以及化疗因素之间的相互作用。该环境旨在模拟现实世界医疗情境的复杂性和动态性，融合了常微分方程（ODEs）和结构因果模型。任务则是利用强化学习在癌症化疗中动态治疗方案的制定。

This dataset is an advanced simulation environment specifically designed to model cellular dynamics under the influence of chemotherapy. It considers the interactions among tumor cells, normal cells, immune cells, and chemotherapy-related factors. Aiming to simulate the complexity and dynamics of real-world clinical scenarios, this environment integrates ordinary differential equations (ODEs) and structural causal models. The associated task is to develop dynamic treatment regimens for cancer chemotherapy using reinforcement learning.