Work

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Year: 2018

Type: article

Source: Nature Biomedical Engineering

DOI: 10.1038/s41551-018-0304-0

Authors: Scott M. Lundberg, Bala Nair, Monica S. Vavilala, Mayumi Horibe, Michael J. Eisses, Trevor Adams, David E. Liston, Daniel King-Wai Low, Shu-Fang Newman, Jerry Kim, Su-In Lee

Institutions: University of Washington, Harborview Injury Prevention and Research Center, VA Puget Sound Health Care System, Seattle Children's Hospital

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Science Foundation, National Institute of General Medical Sciences

Award: Opening the Black Box of Machine Learning Models

OpenAlex ID: W2892741787

FWCI: 54.49

Cites: 42

Cited by: 1,990

Related to: 10