Prediction model for patients with acute respiratory distress syndrome: use of a genetic algorithm to develop a neural network model.

ABSTRACT:

Background

Acute respiratory distress syndrome (ARDS) is associated with significantly increased risk of death, and early risk stratification may help to choose the appropriate treatment. The study aimed to develop a neural network model by using a genetic algorithm (GA) for the prediction of mortality in patients with ARDS.

Methods

This was a secondary analysis of two multicenter randomized controlled trials conducted in forty-four hospitals that are members of the National Heart, Lung, and Blood Institute, founded to create an acute respiratory distress syndrome Clinical Trials Network. Model training and validation were performed using the SAILS and OMEGA studies, respectively. A GA was employed to screen variables in order to predict 90-day mortality, and a neural networ

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC6752189 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature