Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic Drug Monitoring
Bayesian therapeutic drug monitoring (TDM) software uses a reported pharmacokinetic (PK) model as prior information. Since its estimation is based on the Bayesian method, the estimation performance of TDM software can be improved using a PK model with characteristics similar to those of a patient. T...
Saved in:
Main Authors: | Sooyoung Lee (Author), Moonsik Song (Author), Jongdae Han (Author), Donghwan Lee (Author), Bo-Hyung Kim (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2022-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and Validation of Open-Source R Package HMCtdm for Therapeutic Drug Monitoring
by: Sooyoung Lee, et al.
Published: (2022) -
Therapeutic monitoring of vancomycin according to initial dosing regimen in pediatric patients
by: Dae Il Kim, et al.
Published: (2010) -
Therapeutic monitoring of vancomycin = Monitorização terapêutica da vancomicina
by: Sergio Seiji Yamada, et al.
Published: (2012) -
Individualized Vancomycin Dosing with Therapeutic Drug Monitoring and Pharmacokinetic Consultation Service: A Large-Scale Retrospective Observational Study
by: Kim SM, et al.
Published: (2021) -
Bayesian method application: Integrating mathematical modeling into clinical pharmacy through vancomycin therapeutic monitoring
by: Ashley Chen, et al.
Published: (2022)