Cargando…
Neural Network Analysis of Crystalluria Content to Predict Urinary Stone Type
PURPOSE: To investigate the relationship between urinary stone type and the type of crystals in the urine. PATIENTS AND METHODS: This retrospective study involved 485 patients with urinary stones treated at King Saud University Medical City from May 2015 to June 2017. Clinical data were obtained fro...
Autores principales: | Almannie, Raed M, Alsufyani, Abdullah K, Alturki, Abdullah U, Almuhaideb, Mana, Binsaleh, Saleh, Althunayan, Abdulaziz M, Alomar, Mohammed A, Albarraq, Khalid M, Alyami, Fahad A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721952/ https://www.ncbi.nlm.nih.gov/pubmed/35004390 http://dx.doi.org/10.2147/RRU.S322580 |
Ejemplares similares
-
The status of medical malpractice litigations in Saudi Arabia: Analysis of the annual report
por: Almannie, Raed, et al.
Publicado: (2021) -
Exposure of Urology Residents to the Management of Urethral Strictures in Saudi Arabia: Should the Program for Postgraduates Be Customized?
por: Almannie, Raed, et al.
Publicado: (2020) -
“Tele-urology“: Is the COVID-19 pandemic a wake-up call?
por: Almannie, Raed, et al.
Publicado: (2021) -
The effect of the body mass index on the types of urinary tract stones
por: Almannie, Raed M., et al.
Publicado: (2020) -
Survey of Saudi urology program directors: What do you look for in a candidate?
por: Alyami, Fahad A., et al.
Publicado: (2021)