The Potential Value and Impact of Diagnostic Biomarkers for MAFLD Using Machine Learning Methods
NCT06061640 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500
Last updated 2023-09-29
Summary
This is a case-control study that aims to build a predictive model for MAFLD based on machine learning.
Conditions
- Metabolic Dysfunction-associated Fatty Liver Disease
Sponsors & Collaborators
-
Zhejiang Chinese Medical University
collaborator OTHER_GOV -
The First Affiliated Hospital of Zhejiang Chinese Medical University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-06-01
- Primary Completion
- 2024-06-30
- Completion
- 2024-12-31
Countries
- China
Study Locations
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