| Literature DB >> 31076048 |
Ryan D Kindle1, Omar Badawi2, Leo Anthony Celi3, Shawn Sturland4.
Abstract
This article examines the history of the telemedicine intensive care unit (tele-ICU), the current state of clinical decision support systems (CDSS) in the tele-ICU, applications of machine learning (ML) algorithms to critical care, and opportunities to integrate ML with tele-ICU CDSS. The enormous quantities of data generated by tele-ICU systems is a major driver in the development of the large, comprehensive, heterogeneous, and granular data sets necessary to develop generalizable ML CDSS algorithms, and deidentification of these data sets expands opportunities for ML CDSS research.Entities:
Keywords: Clinical decision support systems; ICU; Machine learning; Telemedicine
Mesh:
Year: 2019 PMID: 31076048 DOI: 10.1016/j.ccc.2019.02.005
Source DB: PubMed Journal: Crit Care Clin ISSN: 0749-0704 Impact factor: 3.598