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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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摘要 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. 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.
出处 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2016年第1期13-19,共7页 中国电气与电子工程前沿(英文版)
关键词 mathematical medicine dynamical model parameter estimation mathematical medicine dynamical model parameter estimation
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