Predicting the survival of kidney transplantation: design and evaluation of a smartphone-based application.

ABSTRACT:

Background

Prediction of graft survival for Kidney Transplantation (KT) is considered a risky task due to the scarcity of donating organs and the use of health care resources. The present study aimed to design and evaluate a smartphone-based application to predict the survival of KT in patients with End-Stage Renal Disease (ESRD).

Method

Based on the initial review, a researcher-made questionnaire was developed to assess the information needs of the application through urologists and nephrologists. By using information obtained from the questionnaire, a checklist was prepared, and the information of 513 patients with kidney failure was collected from their records at Sina Urological Research Center. Then, three data mining algorithms were applied to them. The smartphone-base

SUBMITTER: Shahmoradi L 

PROVIDER: S-EPMC9210621 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature