Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods.

Bin ZhangShengsheng HuangChenxing ZhouJichong ZhuTianyou ChenSitan FengChengqian HuangZequn WangShaofeng WuChong LiuXinli Zhan

Published in: Computer assisted surgery (Abingdon, England) (2024)

We successfully developed an ML model for predicting AHD in patients undergoing cervical spine surgery, showcasing its potential to support clinicians in AHD identification and enhance perioperative treatment strategies.

Keyphrases

patients undergoing
machine learning
minimally invasive
coronary artery bypass
healthcare
palliative care
big data
surgical site infection
emergency department
cardiac surgery
coronary artery disease
percutaneous coronary intervention
drug induced