A machine learning prediction model for waiting time to kidney transplant.

ABSTRACT:

Background

Predicting waiting time for a deceased donor kidney transplant can help patients and clinicians to discuss management and contribute to a more efficient use of resources. This study aimed at developing a predictor model to estimate time on a kidney transplant waiting list using a machine learning approach.

Methods

A retrospective cohort study including data of patients registered, between January 1, 2000 and December 31, 2017, in the waiting list of São Paulo State Organ Allocation System (SP-OAS) /Brazil. Data were randomly divided into two groups: 75% for training and 25% for testing. A Cox regression model was fitted with deceased donor transplant as the outcome. Sensitivity analyses were performed using different Cox models. Cox hazard ratios were used to deve

SUBMITTER: Sapiertein Silva JF 

PROVIDER: S-EPMC8136711 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature