Back to search

Article

Development and Validation of a Random Survival Forest-Based Model for Predicting All-Cause Mortality in Peritoneal Dialysis Patients: A Retrospective Cohort Study

2025-12-03

Abstract excerpt

<title>Abstract</title> <p>Background Patients undergoing peritoneal dialysis (PD) face elevated risks of all-cause mortality. We aimed to develop and validate a prediction model for all-cause mortality in PD patients using random survival forest (RSF) methodology. Methods In this retrospective cohort study, patients receiving maintenance PD between 1 January 2017 and 31 December 2019 were enrolled as the trainin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
73f7890c-5ff8-59d5-8905-38e3509c9f54
DOI
10.21203/rs.3.rs-8131831/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and Validation of a Random Survival Forest-Based Model for Predicting All-Cause Mortality in Peritoneal Dialysis Patients: A Retrospective Cohort StudyDOI 10.21203/rs.3.rs-8131831/v1
Select a neighboring publication to make it the new centre.