Cita APA (7a ed.)
Castiñeira, D., Schlosser, K. R., Geva, A., Rahmani, A. R., Fiore, G., Walsh, B. K., . . . Santillana, M. (2020). Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respiratory Care, 65(9), 1367-1378.
Cita Chicago Style (17a ed.)
Castiñeira, David, Katherine R. Schlosser, Alon Geva, Amir R. Rahmani, Gaston Fiore, Brian K. Walsh, Craig D. Smallwood, John H. Arnold, y Mauricio Santillana. "Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach." Respiratory Care 65, no. 9 (2020): 1367-1378.
Cita MLA (9a ed.)
Castiñeira, David, et al. "Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach." Respiratory Care, vol. 65, no. 9, 2020, pp. 1367-1378.
Precaución: Estas citas no son 100% exactas.