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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

128 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-01

Study Completion Date

2024-06-30

Brief Summary

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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.

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Detailed Description

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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

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Lung Neoplasms

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Eligibility Criteria

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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.

Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes