System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer
System identification and parameter estimation in mathematical medicine: examples demonstrated for prostate cancer
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DOI：
10.1007/s40484-016-0059-0
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发表时间：
2016-02
影响因子：
3.1
通讯作者：
Yoshito Hirata;K. Morino;Taiji Suzuki;Qian Guo;H. Fukuhara;K. Aihara
中科院分区：
文献类型：
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作者：
Yoshito Hirata;K. Morino;Taiji Suzuki;Qian Guo;H. Fukuhara;K. Aihara
我们回顾了我们的研究，如何确定最合适的疾病模型，以及如何确定其参数的定量方式给出一个短的时间序列的生物标志物，使用间歇性雄激素剥夺治疗前列腺癌为例。最近，它已经成为可能的估计个别患者的具体参数在合理的时间内，通过采用其他以前的病人作为prior.We讨论的信息同时使用多种数学方法，以实现一个坚实的诊断和预后在未来的个性化医疗实践的重要性。
We review our studies on how to identify the most appropriate models of diseases, and how to determine their parameters in a quantitative manner given a short time series of biomarkers, using intermittent androgen deprivation therapy of prostate cancer as an example. Recently, it has become possible to estimate the specific parameters of individual patients within a reasonable time by employing the information concerning other previous patients as a prior.We discuss the importance of using multiple mathematical methods simultaneously to achieve a solid diagnosis and prognosis in the future practice of personalized medicine.