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Machine Learning to Construct an Association Model for Lung Cancer and Environmental Hormone

Lung Neoplasms Clinical Trial

Official title:
Identifying the Risk of Lung Cancer Linked to Environmental Hormones

Clinical Trial Summary

To apply machine learning to construct an association model regarding lung cancer and environmental hormones to more comprehensively identify factors that may lead to lung cancer and to improve existing lung cancer nursing assessments.

Clinical Trial Description

The present study is exploratory, and its design was divided into three stages: Stage 1 explored the environmental hormonal risk factors for lung cancer and constructed an association model using machine learning algorithms. Stage 2 validated the results of the association model with better predictive results in clinical settings. Stage 3 involved recommendations for reconstructing nursing assessments based on the results of the clinical model validation. The three stages are summarized as follows. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06259461
Study type Observational
Source National Taipei University of Nursing and Health Sciences
Contact
Status Active, not recruiting
Phase
Start date January 1, 2023
Completion date June 30, 2024
View Details
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