Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

Zalikha, A. K., Court, T., Nham, F., El-Othmani, M. M., & Shah, R. P. (2023). Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables. Arthroplasty, 5(1). https://doi.org/10.1186/s42836-023-00187-2
Authors:
Abdul K. Zalikha
Tannor Court
Fong Nham
Mouhanad M. El-Othmani
Roshan P. Shah
Affiliated Authors:
Mouhanad M. El-Othmani
Roshan P. Shah
Author Keywords:
artificial intelligence
length of stay
machine learning
postoperative outcomes
total knee arthroplasty
Publication Type:
Article
Unique ID:
10.1186/s42836-023-00187-2
Journal:
Publication Date:
Data Source:
Scopus

Record Created: