APA aipamena

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. Respir Care.

Chicago Style aipamena

Castiñeira, David, Katherine R. Schlosser, Alon Geva, Amir R. Rahmani, Gaston Fiore, Brian K. Walsh, Craig D. Smallwood, John H. Arnold, and 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." Respir Care 2020.

MLA aipamena

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." Respir Care 2020.