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

Identifying the Risk of Lung Cancer Linked to Environmental Hormones

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.

Study Overview

• Status: Active, not recruiting
• Conditions: Lung Neoplasms

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 Type: Observational
• Enrollment (Estimated): 128

Contacts and Locations

Study Locations

• Taiwan
  • Taipei, Taiwan
    • National Taipei University of Nursing and Health Science
  • Taipei, Taiwan
    • National Taiwan University, Cancer Center

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

The study focused on lung cancer cases and investigated the association with exposure to environmental hormones

Description

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 Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
identify factors that may lead to lung cancer and environmental hormones.	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	the database research samples from May 2014 to December 2020.

Collaborators and Investigators

• Sponsor: Pei-Hung Liao

Study record dates

Study Major Dates

• Study Start (Actual): January 1, 2023
• Primary Completion (Estimated): June 30, 2024
• Study Completion (Estimated): June 30, 2024

Study Registration Dates

• First Submitted: January 20, 2024
• First Submitted That Met QC Criteria: February 5, 2024
• First Posted (Estimated): February 14, 2024

Study Record Updates

• Last Update Posted (Estimated): February 14, 2024
• Last Update Submitted That Met QC Criteria: February 5, 2024
• Last Verified: February 1, 2024

More Information

Terms related to this study

• Keywords: Environmental Substance
• Additional Relevant MeSH Terms: Respiratory Tract Diseases; Neoplasms; Lung Diseases; Neoplasms by Site; Respiratory Tract Neoplasms; Thoracic Neoplasms; Lung Neoplasms
• Other Study ID Numbers: 202204055RINA

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No