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Applying Artificial Intelligence to Identify Subphenotypes of Acute Kidney Injury in Mexican Patients With Severe COVID-19

NCT06471101 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2934

Last updated 2024-06-24

No results posted yet for this study

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

DIAGNOSTIC_TEST

clusters

clustering

Sponsors & Collaborators

  • Instituto Nacional de Enfermedades Respiratorias

    lead OTHER_GOV

Eligibility

Min Age
15 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-18
Primary Completion
2024-06-18
Completion
2024-06-18

Countries

  • Mexico

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06471101 on ClinicalTrials.gov