Incidence, risk factors, and predictive modeling of pulmonary infection after high-risk surgery for lung cancer: a retrospective case-control study.

ABSTRACT:

Background

The hierarchical operation management system is one of the core medical systems. Graded management based on the degree of surgical risk, difficulty, resource consumption, and ethical risks can help ensure the quality and safety of the surgery. With the progress of medical technology and the continuous development of medical standards, the proportion of lung cancer patients who underwent high-risk surgery was increasing rapidly. The purpose of this study is to explore the incidence, risk factors, and prediction models of pulmonary infection after high-risk surgery for lung cancer based on machine learning algorithms.

Methods

This study included individuals who underwent lung cancer high-risk surgery at Shanghai Chest Hospital, Shanghai Jiao Tong University School o

SUBMITTER: Ma J 

PROVIDER: S-EPMC12268473 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature