Clinical trial · Observational
Machine Learning to Construct an Association Model for Lung Cancer and Environmental Hormone
Identifying the Risk of Lung Cancer Linked to Environmental Hormones
NCT06259461CI-TRIAL-00073993unknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Neoplasms | Lung Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- identify factors that may lead to lung cancer and environmental hormones.
- timeFrame
- the database research samples from May 2014 to December 2020.
- description
- 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
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 20 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available
No reference posted for this study.