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Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models | Clinical Trials | Clareo Health

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COMPLETEDNCT06491459

Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models

Although a number of clinical predictive models were developed to predict postoperative pulmonary infection, few predictive models have been used in elderly patients. In this study, the researchers ai...

Lead sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology•1 locations•View source on ClinicalTrials.gov

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Trial snapshot

StatusCOMPLETED

Phase—

Enrollment9,481

Start dateJan 2024

Last updatedJul 9, 2024

Condition

Postoperative Pulmonary Infection in Elderly Patients

Locations shown

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei

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Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: July 9, 2024Data synced to Clareo: July 13, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

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