Optimizing the automatic prediction of conversion to mild cognitive impairment using machine learning algorithms.
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Manuscrito Libro |
| Lenguaje: | eslovaco inglés |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | http://is.stuba.sk/zp/portal_zp.pl?podrobnosti=179528 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Optimizing the automatic prediction of conversion to mild cognitive impairment using machine learning algorithms.
- Optimizing the automatic prediction of conversion to mild cognitive impairment using machine learning algorithms.
- Machine learning methods with Platt scaling calibration for prediction of conversion to cognitive impairment
- Automatic Detection of Mild Cognitive Impairment Using Machine Learning Methods with a Focus on Model Uncertainty Quantification
- Machine learning methods for the prediction of whether and when a person will progress into non-amnestic mild cognitive impairment
- <A> Monte Carlo evaluation of the Box-Cox difference transformation.
- Výber dôležitých atribútov zohľadňujúci cenu ich vytvorenia