Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

Crit Care Med. 2020 Feb;48(2):137-141. doi: 10.1097/CCM.0000000000004144.

Authors

Suchi Saria¹, Katharine E Henry

Affiliation

¹ Department of Computer Science, Johns Hopkins University; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health; and Machine Learning, Artificial Intelligence, and Health Care Lab, Johns Hopkins University, Baltimore, MD Department of Computer Science, Johns Hopkins University, Baltimore, MD.

PMID: 31939780
DOI: 10.1097/CCM.0000000000004144

No abstract available

MeSH terms

Electronic Health Records*
Health Status Indicators
Humans
Machine Learning*
Reproducibility of Results
Sepsis / diagnosis*
Sepsis / physiopathology