Stochastic Modeling of Inter & Intra Stage Dependent Cancer Growth under Chemotherapy through Trivariate Poisson Processes

P. T. Rao, B. Kumar, J. Jayabharathiraj
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Abstract

This study has proposed a Stochastic Model for cancer growth under chemotherapy with the assumptions of the growth, transition and loss parameters of different stages are inter and intra dependent. A trivariate Poisson process approach has been adopted for modeling the three stage cancer growth by considering the stages of cells in the tumor namely normal cell, mutant cell and malignant cell in the presence and absence of chemotherapy during time ‘t’. Stochastic differential equations were obtained and the three dimensional joint probability functions along with related statistical measures were derived. Model behavior was analysed through numerical data.
基于三变量泊松过程的化疗期间和期内肿瘤生长的随机模型
本研究提出了一个化疗下肿瘤生长的随机模型,假设不同阶段的生长、转移和损失参数是相互依赖和内部依赖的。通过考虑肿瘤中细胞的阶段,即正常细胞、突变细胞和恶性细胞,在时间t存在和不存在化疗的情况下,采用三变量泊松过程方法对三个阶段的癌症生长进行建模。得到了随机微分方程,导出了三维联合概率函数及相关的统计测度。通过数值数据分析了模型的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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