Ignite Creation Date:
2025-12-24 @ 12:58 PM
Ignite Modification Date:
2026-01-01 @ 7:51 PM
Study NCT ID:
NCT06259461
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2024-02-14
First Post:
2024-01-20
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Machine Learning to Construct an Association Model for Lung Cancer and Environmental Hormone
Sponsor:
Pei-Hung Liao
Organization:
Study Overview
Official Title:
Identifying the Risk of Lung Cancer Linked to Environmental Hormones
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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 Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: