Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.

ABSTRACT:

Background

Although machine learning (ML) algorithms have been applied to point-of-care sepsis prognostication, ML has not been used to predict sepsis mortality in an administrative database. Therefore, we examined the performance of common ML algorithms in predicting sepsis mortality in adult patients with sepsis and compared it with that of the conventional context knowledge-based logistic regression approach.

Objective

The aim of this study is to examine the performance of common ML algorithms in predicting sepsis mortality in adult patients with sepsis and compare it with that of the conventional context knowledge-based logistic regression approach.

Methods

We examined inpatient admissions for sepsis in the US National Inpatient Sample using hospitalizations in 20

SUBMITTER: Park JY 

PROVIDER: S-EPMC9047761 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature