Viewing Study NCT06775067


Ignite Creation Date: 2025-12-25 @ 12:36 AM
Ignite Modification Date: 2025-12-25 @ 10:45 PM
Study NCT ID: NCT06775067
Status: COMPLETED
Last Update Posted: 2025-01-14
First Post: 2025-01-05
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Incremental Dialysis Decision Model Based on Expert-Guided Machine Learning
Sponsor: Huashan Hospital
Organization:

Study Overview

Official Title: Machine Learning Based on Expert Knowledge to Build and Validate a Decision Model for Incremental Dialysis
Status: COMPLETED
Status Verified Date: 2025-01
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: None
Brief Summary: This observational prospective study combined clinical expert knowledge with machine learning to develop and validate a predictive model for incremental hemodialysis decision-making. The aim of the predictive model is to assist clinicians in developing individualized incremental dialysis treatment plans to optimize patient outcomes.
Detailed Description: By collecting patients' clinical and biochemical parameters and combining them with experts' judgments of dialysis timing and frequency, the model can dynamically assess patients' risk of needing to increase the frequency of dialysis, thus assisting physicians in formulating individualized incremental dialysis regimens to optimize dialysis outcomes and improve patients' prognosis.

Study Oversight

Has Oversight DMC: False
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?: False
Is an FDA AA801 Violation?: