Prediction of Non-home Discharge After Total Shoulder Replacement Using Machine Learning Methods: A National Surgical Quality Improvement Program Study (2019-2020)

Authors

Luis A. Vargas, Baptist Health Orthopedic InstituteFollow
Jonas Ravich
Nicolette Schurhoff, Doctors HospitalFollow
Matthias Schurhoff, Baptist Health South FloridaFollow
Md Ashfaq Ahmed, Baptist Health South FloridaFollow
Zhenwei Zhang, Baptist Health South FloridaFollow
Yanija Zhang, Baptist Health South FloridaFollow
Anshul Saxena, Baptist Health South FloridaFollow
Gautam Yagnik, Baptist Health Orthopedic InstituteFollow

Files

Publication Date

4-2023

Content Type

Poster

Recommended Citation

Vargas, Luis A.; Ravich, Jonas; Schurhoff, Nicolette; Schurhoff, Matthias; Ahmed, Md Ashfaq; Zhang, Zhenwei; Zhang, Yanija; Saxena, Anshul; and Yagnik, Gautam, "Prediction of Non-home Discharge After Total Shoulder Replacement Using Machine Learning Methods: A National Surgical Quality Improvement Program Study (2019-2020)" (2023). Baptist Health Academic Conference: Forging Paths to Achieve Health Equity. 40.
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2022/40