Application of Artificial Neural Network in Therapeutic Drug Monitoring
10.3870/j.issn.1004-0781.2024.08.028
- VernacularTitle:人工神经网络在治疗药物监测中的应用
- Author:
Jing CHEN
1
;
Lu CHEN
;
Lijuan ZHANG
;
Yuan BIAN
;
Xin TAN
;
Yong YANG
Author Information
1. 四川省广元市中心医院药学部,广元 628099;电子科技大学医学院临床药学,成都 610054
- Keywords:
Antibacterial drugs;
Anti-epileptic drugs;
Artificial neural networks;
Therapeutic drug monitoring;
Immu-nosuppressants
- From:
Herald of Medicine
2024;43(8):1347-1354
- CountryChina
- Language:Chinese
-
Abstract:
Artificial neural network(ANN)is a simulation of a biological neural network.It is an adaptive,non-linear,dynamic network system formed by interconnections.The advantages of ANN include easy optimization,simple modeling,and ac-curate results.This review examines the application of ANN in therapeutic drug monitoring for immunosuppressants,antibacteri-als,and anti-epileptic drugs.It discusses the advantages and disadvantages of the current ANN models and highlights future de-velopment directions.The aim is to provide valuable reference information for future researchers.The use of ANN for therapeutic drug monitoring shows great potential and holds promise as an effective method of personalizing patient medication.
