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

The goal of this observational study was to identify subphenotypes of acute kidney injurypatients with COVID-19, and the investigators analyzed their impact on mortality. Thestudy included demographic and clinical variables of the participants. The implementationof Machine Learning algorithms and Artificial Intelligence methods are used, and somespecific implementations were designed for the analysis, where each group wascharacterized by traditional statistical methods.

Detailed Description

Not Provided

Completed
COVID-19
Acute Kidney Injury

Diagnostic Test: clusters

clustering

Eligibility Criteria

Inclusion Criteria:

- Patients older than 15 years old, hospitalized, and with severe acute respiratory
syndrome (SARS-CoV-2) positive confirmation.

Exclusion Criteria:

- Patients who did not have at least 1 creatinine measurement.

Eligibility Gender
All
Eligibility Age
Minimum: 15 Years ~ Maximum: N/A
Countries
Mexico
Locations

Instituto Nacional de Enfermedades Respiratorias
Mexico City 3530597, Mexico

Not Provided

Instituto Nacional de Enfermedades Respiratorias
NCT Number
Keywords
Machine learning
Artificial Intelligence
MeSH Terms
COVID-19
Acute Kidney Injury