A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients.

ABSTRACT:

Objectives

The National Early Warning Score, Modified Early Warning Score, and quick Sepsis-related Organ Failure Assessment can predict clinical deterioration. These scores exhibit only moderate performance and are often evaluated using aggregated measures over time. A simulated prospective validation strategy that assesses multiple predictions per patient-day would provide the best pragmatic evaluation. We developed a deep recurrent neural network deterioration model and conducted a simulated prospective evaluation.

Design

Retrospective cohort study.

Setting

Four hospitals in Pennsylvania.

Patients

Inpatient adults discharged between July 1, 2017, and June 30, 2019.

Interventions

None.

Measurements and main results

We trained a deep recurrent ne

SUBMITTER: Shah PK 

PROVIDER: S-EPMC8282687 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature