Cargando…
Building and analyzing machine learning-based warfarin dose prediction models using scikit-learn
For personalized drug dosing, prediction models may be utilized to overcome the inter-individual variability. Multiple linear regression has been used as a conventional method to model the relationship between patient features and optimal drug dose. However, linear regression cannot capture non-line...
Autor principal: | Ahn, Sangzin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Clinical Pharmacology and Therapeutics
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810489/ https://www.ncbi.nlm.nih.gov/pubmed/36632078 http://dx.doi.org/10.12793/tcp.2022.30.e22 |
Ejemplares similares
-
Mastering machine learning with scikit-learn: learn to implement and evaluate machine learning solutions with scikit-learn
por: Hackeling, Gavin
Publicado: (2017) -
An Introduction to Machine Learning
por: Badillo, Solveig, et al.
Publicado: (2020) -
Using machine learning surrogate modeling for faster QSP VP cohort generation
por: Myers, Renée C., et al.
Publicado: (2023) -
Tutorial: implementing and visualizing machine learning (ML) clinical prediction models into web-accessible calculators using Shiny R
por: Eddington, Hyrum S., et al.
Publicado: (2022) -
Scikit-learn cookbook: over 80 recipes for machine learning in Python with scikit-learn
por: Avila, Julian, et al.
Publicado: (2017)