Cargando…
Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies
Despite the great promise that machine learning has offered in many fields of medicine, it has also raised concerns about potential biases and poor generalization across genders, age distributions, races and ethnicities, hospitals, and data acquisition equipment and protocols. In the current study,...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962919/ https://www.ncbi.nlm.nih.gov/pubmed/36716365 http://dx.doi.org/10.1073/pnas.2211613120 |