Cargando…
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative Approach
We are overwhelmed by a deluge of data and, although its interpretation is challenging, fortunately, information technology comes to the rescue. One of the tools is artificial intelligence, allowing the identification of relationships between variables and their arbitrary classification. We focused...
Autores principales: | Konieczny, Andrzej, Stojanowski, Jakub, Krajewska, Magdalena, Kusztal, Mariusz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074010/ https://www.ncbi.nlm.nih.gov/pubmed/33920611 http://dx.doi.org/10.3390/jpm11040312 |
Ejemplares similares
-
Secondary IgA Nephropathy and IgA-Associated Nephropathy: A Systematic Review of Case Reports
por: Tota, Maciej, et al.
Publicado: (2023) -
Clinical and Histopathological Factors Influencing IgA Nephropathy Outcome
por: Konieczny, Andrzej, et al.
Publicado: (2021) -
Artificial Intelligence—A Tool for Risk Assessment of Delayed-Graft Function in Kidney Transplant
por: Konieczny, Andrzej, et al.
Publicado: (2021) -
Artificial neural network - an effective tool for predicting the lupus nephritis outcome
por: Stojanowski, Jakub, et al.
Publicado: (2022) -
An unsuspected histopathological finding —concomitant IgA nephropathy in a patient with ANCA-associated vasculitis: a case report and literature review
por: Tota, Maciej, et al.
Publicado: (2023)