Cargando...
Improving Prediction of Low-Prior Clinical Events with Simultaneous General Patient-State Representation Learning
Low-prior targets are common among many important clinical events, which introduces the challenge of having enough data to support learning of their predictive models. Many prior works have addressed this problem by first building a general patient-state representation model, and then adapting it to...
Gardado en:
| Publicado en: | Artif Intell Med Conf Artif Intell Med (2005-) |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2021
|
| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8301230/ https://ncbi.nlm.nih.gov/pubmed/34308430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-77211-6_57 |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|