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The researchers aim to compare different algorithms to predict postoperative pneumonia in elderly patients and to assess the risk of pneumonia in elderly patients.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Training set | The whole cohort is randomly assigned to a training cohort and validation cohort. | ||
| validation set | The whole cohort is randomly assigned to a training cohort and validation cohort. |
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| Measure | Description | Time Frame |
|---|---|---|
| Postoperative pulmonary complications | within one week after surgery |
| Measure | Description | Time Frame |
|---|---|---|
| Postoperative pulmonary complications | 30 days after surgery |
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Inclusion Criteria:
Exclusion Criteria:
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older patients received general anesthesia in Wuhan Union Hospital from January 1, 2014 to December 31, 2019.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Qingping Wu, PhD | Contact | 13971605283 | wqp1968@163.com |
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