Automated machine learning with R: AutoML tools for beginners in clinical research.
J Minim Invasive Surg
; 27(3): 129-137, 2024 Sep 15.
Article
em En
| MEDLINE
| ID: mdl-39300720
ABSTRACT
Recently, interest in machine learning (ML) has increased as the application fields have expanded significantly. Although ML methods excel in many fields, establishing an ML pipeline requires considerable time and human resources. Automated ML (AutoML) tools offer a solution by automating repetitive tasks, such as data preprocessing, model selection, hyperparameter optimization, and prediction analysis. This review introduces the use of AutoML tools for general research, including clinical studies. In particular, it outlines a simple approach that is accessible to beginners using the R programming language (R Foundation for Statistical Computing). In addition, the practical code and output results for binary classification are provided to facilitate direct application by clinical researchers in future studies.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
J Minim Invasive Surg
Ano de publicação:
2024
Tipo de documento:
Article