Use of machine learning to analyse routinely collected intensive care unit data: a systematic review.

ABSTRACT:

Background

Intensive care units (ICUs) face financial, bed management, and staffing constraints. Detailed data covering all aspects of patients' journeys into and through intensive care are now collected and stored in electronic health records: machine learning has been used to analyse such data in order to provide decision support to clinicians.

Methods

Systematic review of the applications of machine learning to routinely collected ICU data. Web of Science and MEDLINE databases were searched to identify candidate articles: those on image processing were excluded. The study aim, the type of machine learning used, the size of dataset analysed, whether and how the model was validated, and measures of predictive accuracy were extracted.

Results

Of 2450 papers identified

SUBMITTER: Shillan D 

PROVIDER: S-EPMC6704673 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature