Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis

Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis Based on Real World Data in China

The purpose of this study was to investigate the risk factors for mortality of sepsis and to create mathematical models to predict the survival rate based on electronic health records that extracted from hospital information system. More than 1000 records should be collected and used to data analysis. Univariate and multivariable logistic regression model were applied to risk factors analysis for the outcome, and machine learn algorithms were employed to generate predictive models for the outcome.

Inclusion Criteria:

• all records with sepsis in emergence department of hospitals

Exclusion Criteria:

• subjects with major missing data