Cargando…
Machine learning-assisted decision-support models to better predict patients with calculous pyonephrosis
BACKGROUND: To develop a machine learning (ML)-assisted model capable of accurately identifying patients with calculous pyonephrosis before making treatment decisions by integrating multiple clinical characteristics. METHODS: We retrospectively collected data from patients with obstructed hydronephr...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AME Publishing Company
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947454/ https://www.ncbi.nlm.nih.gov/pubmed/33718073 http://dx.doi.org/10.21037/tau-20-1208 |