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Incremental Dialysis Decision Model Based on Expert-Guided Machine Learning

NCT06775067 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 175

Last updated 2025-01-14

No results posted yet for this study

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.

Conditions

  • End-stage Renal Disease

Sponsors & Collaborators

  • Huashan Hospital

    lead OTHER

Principal Investigators

  • Jing Chen · Huashan Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2010-04-12
Primary Completion
2024-06-28
Completion
2024-06-28

Countries

  • China

Study Locations

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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 NCT06775067 on ClinicalTrials.gov