Ignite Creation Date:
2024-07-17 @ 11:41 AM
Last Modification Date:
2024-10-26 @ 3:32 PM
Study NCT ID:
NCT06471101
Status:
COMPLETED
Last Update Posted:
2024-06-24
First Post:
2024-06-18
Brief Title:
Applying Artificial Intelligence to Identify Subphenotypes of Acute Kidney Injury in Mexican Patients With Severe COVID-19
Sponsor:
Instituto Nacional de Enfermedades Respiratorias
Organization:
Instituto Nacional de Enfermedades Respiratorias
Study Overview
Official Title:
Applying Artificial Intelligence to Identify Subphenotypes of Acute Kidney Injury in Mexican Patients With Severe COVID-19
Status:
COMPLETED
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
IA-COVAKI
Brief 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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None