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Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients

Postoperative Pulmonary Complications Clinical Trial

Official title:
Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients

Clinical Trial Summary

The researchers aim to compare different algorithms to predict postoperative pneumonia in elderly patients and to assess the risk of pneumonia in elderly patients.

Clinical Trial Description

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. ;

Study Design

Related Conditions & MeSH terms

  • Pneumonia
  • Postoperative Pulmonary Complications
Clinical Trial Details
NCT number NCT05671926
Study type Observational
Source Wuhan Union Hospital, China
Contact Qingping Wu, PhD
Phone 13971605283
Email wqp1968@163.com
Status Not yet recruiting
Phase
Start date January 2023
Completion date February 2023
View Details
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