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

Active, not recruiting

• Conditions: Lung Neoplasms

• Registration Number: NCT06259461
• Lead Sponsor: Pei-Hung Liao

Brief 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.

Study Timeline

• Study Start: 2023-01-01
• Study First Submitted: 2024-01-20
• Status Verified: 2024-02
• Study First Submitted QC: 2024-02-05
• Last Update Submitted: 2024-02-05
• Study First Posted: 2024-02-14
• Last Update Posted: 2024-02-14
• Primary Completion: 2024-06-30
• Study Completion: 2024-06-30

Recruitment & Eligibility

• Status: ACTIVE_NOT_RECRUITING
• Sex: All
• Target Recruitment: 128

Inclusion Criteria

1. 20 years or older;
2. conscious, without mental disorders;
3. able to use Mandarin to communicate, had a smartphone or tablet computer and could operate it by themselves,
4. and were willing to participate in the study after the reasons for participation were explained and a consent form was signed, indicating their consent.

Exclusion Criteria

• The exclusion criteria were those who could not understand the content of the nursing assessment questions and those with mental disorders.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
identify factors that may lead to lung cancer and environmental hormones.	the database research samples from May 2014 to December 2020.	This association model can assist in identifying the risk groups of lung cancer and advising physicians on the appropriate environmental hormone testing and treatment to provide nursing guidance and medical advice

Trial Locations

Locations (2)

National Taipei university of nursing and health science; 🇨🇳 Taipei, Taiwan

National Taiwan University, Cancer Center; 🇨🇳 Taipei, Taiwan