Dybała, M.; Bartkowska-Śniatkowska, A.; Pietrzkiewicz, K.; Wiernik, A.; Rosada-Kurasińska, J.; Piontek, T.; Oleksiak, A.; Czyrski, A.
Machine Learning Techniques for the Analysis of the Influence of Blood Gasometry Parameters on Acid–Base Homeostasis in Pediatric Patients. Diagnostics 2025, 15, 3166.
https://doi.org/10.3390/diagnostics15243166
AMA Style
Dybała M, Bartkowska-Śniatkowska A, Pietrzkiewicz K, Wiernik A, Rosada-Kurasińska J, Piontek T, Oleksiak A, Czyrski A.
Machine Learning Techniques for the Analysis of the Influence of Blood Gasometry Parameters on Acid–Base Homeostasis in Pediatric Patients. Diagnostics. 2025; 15(24):3166.
https://doi.org/10.3390/diagnostics15243166
Chicago/Turabian Style
Dybała, Maria, Alicja Bartkowska-Śniatkowska, Krzysztof Pietrzkiewicz, Anna Wiernik, Jowita Rosada-Kurasińska, Tomasz Piontek, Ariel Oleksiak, and Andrzej Czyrski.
2025. "Machine Learning Techniques for the Analysis of the Influence of Blood Gasometry Parameters on Acid–Base Homeostasis in Pediatric Patients" Diagnostics 15, no. 24: 3166.
https://doi.org/10.3390/diagnostics15243166
APA Style
Dybała, M., Bartkowska-Śniatkowska, A., Pietrzkiewicz, K., Wiernik, A., Rosada-Kurasińska, J., Piontek, T., Oleksiak, A., & Czyrski, A.
(2025). Machine Learning Techniques for the Analysis of the Influence of Blood Gasometry Parameters on Acid–Base Homeostasis in Pediatric Patients. Diagnostics, 15(24), 3166.
https://doi.org/10.3390/diagnostics15243166
