González-Nóvoa, J.A.; Campanioni, S.; Busto, L.; Fariña, J.; Rodríguez-Andina, J.J.; Vila, D.; Íñiguez, A.; Veiga, C.
Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning. Int. J. Environ. Res. Public Health 2023, 20, 3455.
https://doi.org/10.3390/ijerph20043455
AMA Style
González-Nóvoa JA, Campanioni S, Busto L, Fariña J, Rodríguez-Andina JJ, Vila D, Íñiguez A, Veiga C.
Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning. International Journal of Environmental Research and Public Health. 2023; 20(4):3455.
https://doi.org/10.3390/ijerph20043455
Chicago/Turabian Style
González-Nóvoa, José A., Silvia Campanioni, Laura Busto, José Fariña, Juan J. Rodríguez-Andina, Dolores Vila, Andrés Íñiguez, and César Veiga.
2023. "Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning" International Journal of Environmental Research and Public Health 20, no. 4: 3455.
https://doi.org/10.3390/ijerph20043455
APA Style
González-Nóvoa, J. A., Campanioni, S., Busto, L., Fariña, J., Rodríguez-Andina, J. J., Vila, D., Íñiguez, A., & Veiga, C.
(2023). Improving Intensive Care Unit Early Readmission Prediction Using Optimized and Explainable Machine Learning. International Journal of Environmental Research and Public Health, 20(4), 3455.
https://doi.org/10.3390/ijerph20043455