Trials / Completed
CompletedNCT06471101
Applying Artificial Intelligence to Identify Subphenotypes of Acute Kidney Injury in Mexican Patients With Severe COVID-19
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,934 (actual)
- Sponsor
- Instituto Nacional de Enfermedades Respiratorias · Other Government
- Sex
- All
- Age
- 15 Years
- Healthy volunteers
- Not accepted
Summary
The goal of this observational study was to identify subphenotypes of acute kidney injury patients with COVID-19, and the investigators analyzed their impact on mortality. The study included demographic and clinical variables of the participants. The implementation of Machine Learning algorithms and Artificial Intelligence methods are used, and some specific implementations were designed for the analysis, where each group was characterized by traditional statistical methods.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | clusters | clustering |
Timeline
- Start date
- 2024-06-18
- Primary completion
- 2024-06-18
- Completion
- 2024-06-18
- First posted
- 2024-06-24
- Last updated
- 2024-06-24
Locations
1 site across 1 country: Mexico
Source: ClinicalTrials.gov record NCT06471101. Inclusion in this directory is not an endorsement.