Application of machine learning in individualized medication of tacrolimus in patients with nephrotic syndrome
10.12206/j.issn.2097-2024.202310007
- VernacularTitle:机器学习在肾病综合征患者他克莫司个体化用药中的应用
- Author:
Qianxue DING
1
,
2
;
Shenglan SHANG
2
;
Mengchen YU
2
;
Airong YU
2
Author Information
1. School of Pharmacy, Hubei University of Science and Technology, Xianning 437100, China
2. Department of Clinical Pharmacy, General Hospital of Central Theatre Command of PLA, Wuhan 430061, China.
- Keywords:
tacrolimus;
nephrotic syndrome;
machine learning
- From:
Journal of Pharmaceutical Practice and Service
2024;42(6):227-230
- CountryChina
- Language:Chinese
-
Abstract:
Tacrolimus is a commonly used medication for the treatment of nephrotic syndrome. Due to its narrow therapeutic window and significant pharmacokinetic differences among individuals, therapeutic drug monitoring is required during its clinical use. In the process of therapeutic drug monitoring, machine learning-based personalized dosing prediction models for tacrolimus can excavate medication patterns from a large amount of clinical data, assist in clinical decision-making, and achieve individualized precise medication. Machine learning models, the application progress of machine learning in personalized administration of tacrolimus for patients with nephrotic syndrome, modeling points of machine learning prediction models, and the limitations of current prediction models were reviewed in this paper, which could provide references for future research in this field.
