Doniec, R.; Berepiki, E.O.; Piaseczna, N.; Sieciński, S.; Piet, A.; Irshad, M.T.; Tkacz, E.; Grzegorzek, M.; Glinkowski, W.
Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments. Appl. Sci. 2024, 14, 1320.
https://doi.org/10.3390/app14031320
AMA Style
Doniec R, Berepiki EO, Piaseczna N, Sieciński S, Piet A, Irshad MT, Tkacz E, Grzegorzek M, Glinkowski W.
Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments. Applied Sciences. 2024; 14(3):1320.
https://doi.org/10.3390/app14031320
Chicago/Turabian Style
Doniec, Rafał, Eva Odima Berepiki, Natalia Piaseczna, Szymon Sieciński, Artur Piet, Muhammad Tausif Irshad, Ewaryst Tkacz, Marcin Grzegorzek, and Wojciech Glinkowski.
2024. "Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments" Applied Sciences 14, no. 3: 1320.
https://doi.org/10.3390/app14031320
APA Style
Doniec, R., Berepiki, E. O., Piaseczna, N., Sieciński, S., Piet, A., Irshad, M. T., Tkacz, E., Grzegorzek, M., & Glinkowski, W.
(2024). Cardiovascular Disease Preliminary Diagnosis Application Using SQL Queries: Filling Diagnostic Gaps in Resource-Constrained Environments. Applied Sciences, 14(3), 1320.
https://doi.org/10.3390/app14031320