NCT06259461

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

Identifying the Risk of Lung Cancer Linked to Environmental Hormones

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 128 (estimated)
• Sponsor: Pei-Hung Liao · Academic / Other
• Sex: All
• Age: 20 Years
• Healthy volunteers: Accepted

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.

Detailed 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.

Conditions

• Lung Neoplasms

Timeline

• Start date: 2023-01-01
• Primary completion: 2024-06-30
• Completion: 2024-06-30
• First posted: 2024-02-14
• Last updated: 2024-02-14

Locations

2 sites across 1 country: Taiwan