NCT06775067Completed
Incremental Dialysis Decision Model Based on Expert-Guided Machine Learning
Machine Learning Based on Expert Knowledge to Build and Validate a Decision Model for Incremental Dialysis
Source: ClinicalTrials.gov · Last updated 14 Jan 2025
Brief summary (registry, in English)
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.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 175 (actual)
- First submitted
- 5 Jan 2025
- Start date
- 12 Apr 2010
- Primary completion date
- 28 Jun 2024
- Lead sponsor
- Huashan Hospital
- Diseases
- Chronic kidney disease
- NCT number
- NCT06775067
What you commit to
- Study type: Observational
- Participants enrolled: 175
- From 12 Apr 2010 to the primary completion date, 28 Jun 2024
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study design.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Liver disease, heart failure, or severe comorbidities.
Other
- Incomplete/unreliable data.
- Twice-weekly palliative dialysis.
- No baseline urine output or ≤200 mL/24h.
Who the study is looking for
- New hemodialysis patients (Apr 2010-Jun 2024), started within 3 months, including transfers.
- Age ≥18, stable hemodialysis \>6 months.
Age in the registry: 18 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Save your city in your profile to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Huashan Hospital, Fudan University Coordinator of this site? Confirm its status | Shanghai | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.