Machine Learning Prediction of Unplanned Postoperative Intubation Following High-Acuity Surgery: A 2021-2023 ACS-NSQIP Analysis

Authors

• Venkataraghavan Ramamoorthy, Baptist Health South FloridaFollow
• Yanija Zhang, Baptist Health South FloridaFollow
• Lili Zhou, Baptist Health South FloridaFollow
• Muni Rubens, Baptist Health South FloridaFollow
• Anshul Saxena, Baptist Health South FloridaFollow
• Sankalp Das, Baptist Health South FloridaFollow
• Rupa Seetharamaiah, West Kendall Baptist HospitalFollow
• Laiqua Khalid, Baptist Health South FloridaFollow

Files

Publication Date

4-30-2026

Content Type

poster_control

Recommended Citation

Ramamoorthy, Venkataraghavan; Zhang, Yanija; Zhou, Lili; Rubens, Muni; Saxena, Anshul; Das, Sankalp; Seetharamaiah, Rupa; and Khalid, Laiqua, "Machine Learning Prediction of Unplanned Postoperative Intubation Following High-Acuity Surgery: A 2021-2023 ACS-NSQIP Analysis" (2026). 2026 Baptist Health Academic Conference: The Art and Science of Interprofessional Collaborations. 298.
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2026/298