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机器学习在治疗药物监测与个体化用药中的应用
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| 篇名： | 机器学习在治疗药物监测与个体化用药中的应用 |
| TITLE： | Application of machine learning in the therapeutic drug monitoring and individual drug therapy |
| 摘要： | 机器学习由于其强大的数据分析与预测能力，在医学领域的研究与应用不断深入。近年来，越来越多的研究将其应用于免疫抑制剂、抗感染药物、抗癫痫药物等的治疗药物监测与个体化用药中。相较于传统的群体药动学建模方法，基于机器学习构建的模型能更精准地预测血药浓度和给药剂量，提高临床精准用药水平，减少不良反应的发生。基于此，本文就机器学习在治疗药物监测与个体化用药中的应用予以综述，为临床精准用药提供理论依据和技术支撑。 |
| ABSTRACT： | Machine learning has been applied in the medical field due to its powerful data analysis and exploration capabilities. In recent years， more and more studies have applied it to therapeutic drug monitoring and individual drug therapy of immunosuppressants， anti-infective drugs， antiepileptic drugs， etc. Compared with the traditional population pharmacokinetic modeling methods， the constructed models based on machine learning can predict blood drug concentration and drug dose more accurately， improve the level of clinical precision drug use and reduce the occurrence of adverse drug reactions. Based on this， this article reviews the application of machine learning in therapeutic drug monitoring and individual drug therapy， with a view to providing theoretical basis and technical support for clinical precise drug use. |
| 期刊： | 2023年第34卷第01期 |
| 作者： | 詹世鹏；马攀；刘芳 |
| AUTHORS： | ZHAN Shipeng，MA Pan，LIU Fang |
| 关键字： | 机器学习；治疗药物监测；免疫抑制剂；抗感染药物；个体化用药 |
| KEYWORDS： | machine learning； therapeutic drug monitoring； immunosuppressants； anti-infective drugs； individual drug therapy |
| 阅读数： | 669 次 |
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