隨著現(xiàn)代醫(yī)學(xué)逐步邁向精準(zhǔn)用藥時代，對個體化藥物治療也提出了更高的要求。在明確血藥濃度影響因素的基礎(chǔ)上，了解預(yù)測模型的構(gòu)建方法以及基于模型引導(dǎo)的精準(zhǔn)用藥的應(yīng)用對于臨床患者特別是特殊患者群體的治療具有重要的意義。通過對常用的血藥濃度預(yù)測模型構(gòu)建方法（如回歸法、群體藥動學(xué)、生理藥動學(xué)以及機器學(xué)習(xí)）進行介紹，探討各種方法的特點及適用范圍，以期為模型引導(dǎo)的精準(zhǔn)用藥在臨床血藥濃度預(yù)測中的相關(guān)應(yīng)用提供參考。

With modern medicine stepping into the era of precision medication, higher requirements have been put forward for individualized drug treatment. On the basis of clarifying the influencing factors of serum concentration, understanding construction of prediction model and its application of precision dosing are important for clinical patients, especially for treatment of special patient groups. In this review, some commonly used methods such as regression, population pharmacokinetics, physiologically based pharmacokinetic, machine learning and their application in prediction of serum concentration were introduced. The characteristics and applicability of these methods were also discussed in order to provide references for application of model-informed precision dosing in prediction of serum concentration.