Alderden, J., Kennerly, S. M., Wilson, A., Dimas, J., McFarland, C., Yap, D. Y., … Yap, T. L. (2022). Explainable Artificial Intelligence for Predicting Hospital-Acquired Pressure Injuries in COVID-19-Positive Critical Care Patients. Computers, Informatics, Nursing : CIN, 40(10), 659–665. https://doi.org/10.1097/cin.0000000000000943

Alderden, Jenny, Susan M. Kennerly, Andrew Wilson, Jonathan Dimas, Casey McFarland, David Y. Yap, Lucy Zhao, and Tracey L. Yap. “Explainable Artificial Intelligence for Predicting Hospital-Acquired Pressure Injuries in COVID-19-Positive Critical Care Patients.” Computers, Informatics, Nursing : CIN 40, no. 10 (October 2022): 659–65. https://doi.org/10.1097/cin.0000000000000943.

Alderden J, Kennerly SM, Wilson A, Dimas J, McFarland C, Yap DY, et al. Explainable Artificial Intelligence for Predicting Hospital-Acquired Pressure Injuries in COVID-19-Positive Critical Care Patients. Computers, informatics, nursing : CIN. 2022 Oct;40(10):659–65.

Alderden, Jenny, et al. “Explainable Artificial Intelligence for Predicting Hospital-Acquired Pressure Injuries in COVID-19-Positive Critical Care Patients.” Computers, Informatics, Nursing : CIN, vol. 40, no. 10, Oct. 2022, pp. 659–65. Epmc, doi:10.1097/cin.0000000000000943.

Alderden J, Kennerly SM, Wilson A, Dimas J, McFarland C, Yap DY, Zhao L, Yap TL. Explainable Artificial Intelligence for Predicting Hospital-Acquired Pressure Injuries in COVID-19-Positive Critical Care Patients. Computers, informatics, nursing : CIN. 2022 Oct;40(10):659–665.