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引用次数: 7

摘要

乳腺癌是世界上妇女死亡的第二大原因。癌症治疗是用来杀死癌细胞,通过手术切除癌细胞,或者阻止癌细胞获得细胞分裂所需的信号。癌症治疗不一定对病人有好的效果。用化疗治疗乳腺癌会影响心脏健康。化疗对心脏的副作用被称为心脏毒性。因此,我们从医院的乳腺癌患者人群中构建了一个数学模型。一个种群被分成五个亚种群。它们分别是1期和2期(A)、3期(B)、4期(C)、无病期(D)和心毒性期(E)。模型采用微分方程系统构建。利用平衡点和稳定性分析来研究与时间有关的动力学。用劳斯赫维茨准则分析平衡点稳定性。在此基础上得到了一个渐近稳定平衡点。我们用数值模拟验证了分析结果。数值模拟结果表明,在各种初始条件下,平衡点在没有条件的情况下总是稳定的。可见,这5个亚群在达到平衡点时是稳定的。
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Mathematical model analysis of breast cancer stages with side effects on heart in chemotherapy patients
Breast cancer is the second largest cause of death for women in the world. Cancer treatment is used to kill cancer cells, remove cancer cells through surgery, or prevent cancer from getting the signal needed for cell division. Cancer treatment does not necessarily have a good effect on patients. Breast cancer treatment with chemotherapy can effect heart health. Side effects of chemotherapy on the heart is called cardiotoxicity. Therefore, we have constructed a mathematical model from the breast cancer patient population in the hospital. A population is divided into five sub-populations. They are stage 1 and 2 (A), stage 3 (B), stage 4 (C), disease-free (D), and cardiotoxic (E). The model is constructed by using a differential equation system. The equilibrium point and stability analysis are used to study the dynamics associated with time. Analysis of equilibrium point stability using Routh Hurwitz criteria. Based on the analysis obtained an asymptotic stable equilibrium point. We verified the results of analysis with numerical simulations. Numerical simulations have a result that an equilibrium point is always stable without conditions using a variety of initial conditions. It is evident that the five sub-populations of patients will be stable when they reach the equilibrium point.
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