...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Innovative Computing Information and Control >OPTIMIZED DRUG SCHEDULING FOR CANCER CHEMOTHERAPY USING IMPROVED IMMUNE ALGORITHM
【24h】

OPTIMIZED DRUG SCHEDULING FOR CANCER CHEMOTHERAPY USING IMPROVED IMMUNE ALGORITHM

机译：改进的免疫算法优化药物化疗方案

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Taguchi immune algorithm (TIA) is proposed for optimizing multi-dose drug schedules, treatment periods, and drug toxicities in cancer chemotherapy. The objective of the algorithm is to find the drug schedules that minimize the number of tumor cells for a given treatment period under the constraints of drug concentration and drug toxi-city. The algorithm developed in this study is applicable for scheduling multi-dose drug cancer chemotherapy for a fixed treatment period. Cancer chemotherapy drug schedules generated for different treatment durations and different drug toxicities are also analyzed. The TIA is used to solve multi-dose drug scheduling problems classified as high dimensional, multimodal, and nonlinear optimization problems. The TIA combines the use of Taguchi method for exploiting the optimal solution in micro-space with the use of artificial immune algorithm (AIA) for exploring the optimal feasible region in macro-space. Therefore, the advantage of the TIA is the capability of both exploration and exploitation. Applications of the TIA to solving the problem of multi-dose drug scheduling for cancer chemotherapy confirm its effectiveness for optimizing drug schedules. The experimental simulation results show that the TIA can help physicians select efficient drug schedules for cancer chemotherapy. The simulations also show that cumulative drug toxicity is an important factor in the reduction of tumor cells.
机译：Taguchi免疫算法（TIA）用于优化癌症化疗中的多剂量药物方案，治疗时间和药物毒性。该算法的目的是找到在药物浓度和药物毒性的限制下，在给定的治疗期内使肿瘤细胞数量最少的药物方案。本研究开发的算法适用于在固定治疗期间安排多剂量药物癌症化疗。还分析了针对不同治疗持续时间和不同药物毒性产生的癌症化疗药物方案。 TIA用于解决多剂量药物调度问题，这些问题分类为高维，多峰和非线性优化问题。 TIA将Taguchi方法用于在微空间中开发最佳解决方案，并与人工免疫算法（AIA）用于在宏空间中探索最优可行区域相结合。因此，TIA的优势在于具有勘探和开发能力。 TIA在解决癌症化疗的多剂量药物计划问题上的应用证实了其在优化药物计划方面的有效性。实验仿真结果表明，TIA可以帮助医生为癌症化疗选择有效的药物方案。模拟还表明，累积的药物毒性是减少肿瘤细胞的重要因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号