Nowicka-Sauer, K.; Jarmoszewicz, K.; Molisz, A.; Sobczak, K.; Sauer, M.; Topolski, M.
Applying Machine Learning to Construct a Model of Risk of Depression in Patients Following Cardiac Surgery with the Use of the SF-12 Survey. Int. J. Environ. Res. Public Health 2023, 20, 4876.
https://doi.org/10.3390/ijerph20064876
AMA Style
Nowicka-Sauer K, Jarmoszewicz K, Molisz A, Sobczak K, Sauer M, Topolski M.
Applying Machine Learning to Construct a Model of Risk of Depression in Patients Following Cardiac Surgery with the Use of the SF-12 Survey. International Journal of Environmental Research and Public Health. 2023; 20(6):4876.
https://doi.org/10.3390/ijerph20064876
Chicago/Turabian Style
Nowicka-Sauer, Katarzyna, Krzysztof Jarmoszewicz, Andrzej Molisz, Krzysztof Sobczak, Marta Sauer, and Mariusz Topolski.
2023. "Applying Machine Learning to Construct a Model of Risk of Depression in Patients Following Cardiac Surgery with the Use of the SF-12 Survey" International Journal of Environmental Research and Public Health 20, no. 6: 4876.
https://doi.org/10.3390/ijerph20064876
APA Style
Nowicka-Sauer, K., Jarmoszewicz, K., Molisz, A., Sobczak, K., Sauer, M., & Topolski, M.
(2023). Applying Machine Learning to Construct a Model of Risk of Depression in Patients Following Cardiac Surgery with the Use of the SF-12 Survey. International Journal of Environmental Research and Public Health, 20(6), 4876.
https://doi.org/10.3390/ijerph20064876