Stojanowski, J.; Konieczny, A.; Lis, Ł.; Frosztęga, W.; Brzozowska, P.; Ciszewska, A.; Rydzyńska, K.; Sroka, M.; Krakowska, K.; Gołębiowski, T.;
et al. The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease. J. Clin. Med. 2023, 12, 4751.
https://doi.org/10.3390/jcm12144751
AMA Style
Stojanowski J, Konieczny A, Lis Ł, Frosztęga W, Brzozowska P, Ciszewska A, Rydzyńska K, Sroka M, Krakowska K, Gołębiowski T,
et al. The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease. Journal of Clinical Medicine. 2023; 12(14):4751.
https://doi.org/10.3390/jcm12144751
Chicago/Turabian Style
Stojanowski, Jakub, Andrzej Konieczny, Łukasz Lis, Weronika Frosztęga, Patrycja Brzozowska, Anna Ciszewska, Klaudia Rydzyńska, Michał Sroka, Kornelia Krakowska, Tomasz Gołębiowski,
and et al. 2023. "The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease" Journal of Clinical Medicine 12, no. 14: 4751.
https://doi.org/10.3390/jcm12144751
APA Style
Stojanowski, J., Konieczny, A., Lis, Ł., Frosztęga, W., Brzozowska, P., Ciszewska, A., Rydzyńska, K., Sroka, M., Krakowska, K., Gołębiowski, T., Hruby, Z., Kusztal, M., & Krajewska, M.
(2023). The Artificial Neural Network as a Diagnostic Tool of the Risk of Clostridioides difficile Infection among Patients with Chronic Kidney Disease. Journal of Clinical Medicine, 12(14), 4751.
https://doi.org/10.3390/jcm12144751
