Building and analyzing machine learning-based warfarin dose prediction models using scikit-learn
Author:
Affiliation:
1. Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan, Korea.
2. Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Korea.
Funder
National Research Foundation of Korea
Publisher
Korean Society for Clinical Pharmacology and Therapeutics
Subject
Pharmacology (medical)
Link
https://tcpharm.org/pdf/10.12793/tcp.2022.30.e22
Reference11 articles.
1. The Elements of Statistical Learning
2. Precision dosing of warfarin: open questions and strategies
3. High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans
4. Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose
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