Application of machine learning in the therapeutic drug monitoring and individual drug therapy
- VernacularTitle:机器学习在治疗药物监测与个体化用药中的应用
- Author:
Shipeng ZHAN
1
;
Pan MA
1
;
Fang LIU
1
Author Information
1. Dept. of Pharmacy，the First Affiliated Hospital of Army Medical University，Chongqing 400038，China
- Publication Type:Journal Article
- Keywords:
machine learning;
therapeutic drug monitoring;
immunosuppressants;
anti-infective drugs;
individual drug therapy
- From:
China Pharmacy
2023;34(1):117-121
- CountryChina
- Language:Chinese
-
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.
