Machine learning for the prediction of postoperative nosocomial pulmonary infection in patients with spinal cord injury.

Meng-Pan LiWen-Cai LiuJia-Bao WuKun LuoYu LiuYu ZhangShi-Ning XiaoZhi-Li LiuShan-Hu HuangJia-Ming Liu

Published in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2023)

Age, ASIA scale and tracheotomy were the independent risk factors of postoperative nosocomial pulmonary infection in SCI. The prediction model based on RF algorithm had the best performance.

Keyphrases

spinal cord injury
machine learning
risk factors
pulmonary hypertension
patients undergoing
acinetobacter baumannii
methicillin resistant staphylococcus aureus
deep learning
klebsiella pneumoniae
neuropathic pain
escherichia coli
multidrug resistant
drug resistant