Postoperative pneumonia is a common complication that increases the mortality and length of older patients. In order to better assess the risk of postoperative pneumonia in elderly patients, we plan to use database information and different algorithms, such as logistic regression, random forest, and other algorithms respectively to build models and evaluate the effects of the models.
The researchers aim to compare different algorithms to predict postoperative pneumonia in elderly patients and to assess the risk of pneumonia in elderly patients.