JA, C., TMV, S., BAMP, B., RF, S., DB, S., LRG, d. S., . . . RF, S. (2025). Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network. The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases, 29(2), 104510. https://doi.org/10.1016/j.bjid.2025.104510
Chicago Style (17th ed.) CitationJA, Cedeno, et al. "Early Prediction of 30-day Mortality in Patients with Surgical Wound Infections Following Cardiothoracic Surgery: Development and Validation of the SWICS-30 Score Utilizing Conventional Logistic Regression and Artificial Neural Network." The Brazilian Journal of Infectious Diseases : An Official Publication of the Brazilian Society of Infectious Diseases 29, no. 2 (2025): 104510. https://doi.org/10.1016/j.bjid.2025.104510.
MLA (9th ed.) CitationJA, Cedeno, et al. "Early Prediction of 30-day Mortality in Patients with Surgical Wound Infections Following Cardiothoracic Surgery: Development and Validation of the SWICS-30 Score Utilizing Conventional Logistic Regression and Artificial Neural Network." The Brazilian Journal of Infectious Diseases : An Official Publication of the Brazilian Society of Infectious Diseases, vol. 29, no. 2, 2025, p. 104510, https://doi.org/10.1016/j.bjid.2025.104510.
