Using Machine Learning to Predict Surgical Site Infection After Lumbar Spine Surgery.
Tianyou ChenChong LiuZide ZhangTuo LiangJichong ZhuChenxing ZhouShaofeng WuYuanlin YaoChengqian HuangBin ZhangSitan FengZequn WangShengsheng HuangXuhua SunLiyi ChenXinli ZhanPublished in: Infection and drug resistance (2023)
Logistic regression analysis and machine learning were employed to select four risk factors: Modic changes, sebum thickness, hemoglobin, and glucose. Then, a dynamic prediction model was constructed to help clinicians simplify the monitoring and prevention of SSI.