External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports.

ABSTRACT:

Objectives

Acute respiratory distress syndrome is frequently under recognized and associated with increased mortality. Previously, we developed a model that used machine learning and natural language processing of text from radiology reports to identify acute respiratory distress syndrome. The model showed improved performance in diagnosing acute respiratory distress syndrome when compared to a rule-based method. In this study, our objective was to externally validate the natural language processing model in patients from an independent hospital setting.

Design

Secondary analysis of data across five prospective clinical studies.

Setting

An urban, tertiary care, academic hospital.

Patients

Adult patients admitted to the medical ICU and at-risk for acute respirat

SUBMITTER: Mayampurath A 

PROVIDER: S-EPMC7872467 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature