Cargando…
Predicting Blood Concentration of Tacrolimus in Patients With Autoimmune Diseases Using Machine Learning Techniques Based on Real-World Evidence
Tacrolimus is a widely used immunosuppressive drug in patients with autoimmune diseases. It has a narrow therapeutic window, thus requiring therapeutic drug monitoring (TDM) to guide the clinical regimen. This study included 193 cases of tacrolimus TDM data in patients with autoimmune diseases at So...
Autores principales: | Zheng, Ping, Yu, Ze, Li, Liren, Liu, Shiting, Lou, Yan, Hao, Xin, Yu, Peng, Lei, Ming, Qi, Qiaona, Wang, Zeyuan, Gao, Fei, Zhang, Yuqing, Li, Yilei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497784/ https://www.ncbi.nlm.nih.gov/pubmed/34630104 http://dx.doi.org/10.3389/fphar.2021.727245 |
Ejemplares similares
-
Commentary: Predicting blood concentration of tacrolimus in patients with autoimmune diseases using machine learning techniques based on real-world evidence
por: Zhu, Yuxiang, et al.
Publicado: (2022) -
An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques
por: Zheng, Ping, et al.
Publicado: (2022) -
The effect of Shengmai injection in patients with coronary heart disease in real world and its personalized medicine research using machine learning techniques
por: Ma, Jing, et al.
Publicado: (2023) -
Machine Learning-Based Prediction Method for Tremors Induced by Tacrolimus in the Treatment of Nephrotic Syndrome
por: Shao, Bing, et al.
Publicado: (2022) -
Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study
por: Yu, Ze, et al.
Publicado: (2022)