Cargando…
Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%, presenting a challenge in determining whether su...
Autores principales: | Houston, Andrew, Cosma , Georgina, Turner, Phillipa, Bennett, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688508/ https://www.ncbi.nlm.nih.gov/pubmed/34931008 http://dx.doi.org/10.1038/s41598-021-03825-4 |
Ejemplares similares
-
Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies
por: Houston, Andrew, et al.
Publicado: (2022) -
Chronic exertional compartment syndrome: current management strategies
por: Buerba, Rafael A, et al.
Publicado: (2019) -
Trusted computing for embedded systems
por: Candaele, Bernard, et al.
Publicado: (2015) -
On the Limitations of Visual-Semantic Embedding Networks for Image-to-Text Information Retrieval
por: Gong, Yan, et al.
Publicado: (2021) -
Chronic exertional compartment syndrome of the superficial posterior compartment: Soleus syndrome
por: Gross, Christopher E, et al.
Publicado: (2015)