Monlezun, D.J.; Sinyavskiy, O.; Peters, N.; Steigner, L.; Aksamit, T.; Girault, M.I.; Garcia, A.; Gallagher, C.; Iliescu, C.
Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score. Medicina 2022, 58, 1039.
https://doi.org/10.3390/medicina58081039
AMA Style
Monlezun DJ, Sinyavskiy O, Peters N, Steigner L, Aksamit T, Girault MI, Garcia A, Gallagher C, Iliescu C.
Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score. Medicina. 2022; 58(8):1039.
https://doi.org/10.3390/medicina58081039
Chicago/Turabian Style
Monlezun, Dominique J., Oleg Sinyavskiy, Nathaniel Peters, Lorraine Steigner, Timothy Aksamit, Maria Ines Girault, Alberto Garcia, Colleen Gallagher, and Cezar Iliescu.
2022. "Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score" Medicina 58, no. 8: 1039.
https://doi.org/10.3390/medicina58081039
APA Style
Monlezun, D. J., Sinyavskiy, O., Peters, N., Steigner, L., Aksamit, T., Girault, M. I., Garcia, A., Gallagher, C., & Iliescu, C.
(2022). Artificial Intelligence-Augmented Propensity Score, Cost Effectiveness and Computational Ethical Analysis of Cardiac Arrest and Active Cancer with Novel Mortality Predictive Score. Medicina, 58(8), 1039.
https://doi.org/10.3390/medicina58081039
