The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data.

ABSTRACT:

Objectives

Bacteremia and fungemia can cause life-threatening illness with high mortality rates, which increase with delays in antimicrobial therapy. The objective of this study is to develop machine learning models to predict blood culture results at the time of the blood culture order using routine data in the electronic health record.

Design

Retrospective analysis of a large, multicenter inpatient data.

Setting

Two academic tertiary medical centers between the years 2007 and 2018.

Subjects

All hospitalized patients who received a blood culture during hospitalization.

Interventions

The dataset was partitioned temporally into development and validation cohorts: the logistic regression and gradient boosting machine models were trained on the earliest 80%

SUBMITTER: Bhavani SV 

PROVIDER: S-EPMC7554143 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature