Trials / Completed
CompletedNCT04282837
Machine Learning for Reclassification of Obesity
Data-driven Clustering for Metabolic Classification of Obesity Using Machine Learning
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,495 (actual)
- Sponsor
- Shanghai 10th People's Hospital · Academic / Other
- Sex
- All
- Age
- 10 Years – 70 Years
- Healthy volunteers
- Accepted
Summary
The goal of this study is to employ or develop computational modeling techniques for the precise reclassification of obesity into subgroups. Clinical features, risks of noncommunicable diseases, as well as weight loss effects of bariatric surgery will also be studied and compared within the subgroups.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | AI classification of patients with obesity | Computational modeling techniques will be used for the precise reclassification of obesity into four subgroups, several variables according to the clinical experience and the modeling results will be selected for the cluster analysis. |
Timeline
- Start date
- 2020-03-01
- Primary completion
- 2020-04-30
- Completion
- 2020-06-20
- First posted
- 2020-02-25
- Last updated
- 2020-06-25
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04282837. Inclusion in this directory is not an endorsement.