Development and Verify of Survival Analysis Models for Chinese Patients With Systemic Lupus Erythematosus.

ABSTRACT:

Background

The aim of this study is to develop survival analysis models of hospitalized systemic lupus erythematosus (h-SLE) patients in Jiangsu province using data mining techniques to predict patient survival outcomes and survival status.

Methods

In this study, based on 1999-2009 survival data of 2453 hospitalized SLE (h-SLE) patients in Jiangsu Province, we not only used the Cox proportional hazards model to analyze patients' survival factors, but also used neural network models to predict survival outcomes. We used semi-supervised learning to label the censored data and introduced cost-sensitivity to achieve data augmentation, addressing category imbalance and pseudo label credibility. In addition, the risk score model was developed by logistic regression.

Results

SUBMITTER: Geng L 

PROVIDER: S-EPMC9263294 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature