Synthetic data as an enabler for machine learning applications in medicine

Synthetic data generation is the process of using machine learning methods to train a model that captures the patterns in a real dataset. Then new or synthetic data can be generated from that trained model. The synthetic data does not have a one-to-one mapping to the original data or to real patient...

Descripción completa

Detalles Bibliográficos
Autores principales: Rajotte, Jean-Francois, Bergen, Robert, Buckeridge, David L., El Emam, Khaled, Ng, Raymond, Strome, Elissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619172/
https://www.ncbi.nlm.nih.gov/pubmed/36325058
http://dx.doi.org/10.1016/j.isci.2022.105331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619172/
https://www.ncbi.nlm.nih.gov/pubmed/36325058
http://dx.doi.org/10.1016/j.isci.2022.105331

Ejemplares similares