Artificial Neural Network vs. Pharmacometric Model for Population Prediction of Plasma Concentration in Real‐World Data: A Case Study on Valproic Acid-Reference-Cited by-同舟云学术

Artificial Neural Network vs. Pharmacometric Model for Population Prediction of Plasma Concentration in Real‐World Data: A Case Study on Valproic Acid

Published:2022-03-25 Issue:6 Volume:111 Page:1278-1285
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin Pharma and Therapeutics

Author:

Soeorg Hiie¹²,Sverrisdóttir Eva²,Andersen Morten¹,Lund Trine Meldgaard²,Sessa Maurizio¹

Affiliation:

1. Pharmacovigilance Research Center Department of Drug Design and Pharmacology University of Copenhagen Copenhagen Denmark

2. Pharmacometrics Research Group Department of Drug Design and Pharmacology University of Copenhagen Copenhagen Denmark

Funder

Helsefonden

Novo Nordisk Fonden

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.2577

Reference27 articles.

1. The PHARMACOM‐EPI Framework for Integrating Pharmacometric Modelling Into Pharmacoepidemiological Research Using Real‐World Data: Application to Assess Death Associated With Valproate

2. Application of a Backpropagation Artificial Neural Network in Predicting Plasma Concentration and Pharmacokinetic Parameters of Oral Single‐Dose Rosuvastatin in Healthy Subjects

3. The Performance of an Artificial Neural Network Model in Predicting the Early Distribution Kinetics of Propofol in Morbidly Obese and Lean Subjects

4. Population Pharmacokinetics of Valproic Acid Concentrations in Elderly Nursing Home Residents

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