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Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
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
doi: https://doi.org/10.1101/206540
Scott M. Lundberg
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Bala Nair
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
6Harborview Injury Prevention and Research Center, Seattle, WA, USA
Monica S. Vavilala
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
6Harborview Injury Prevention and Research Center, Seattle, WA, USA
Mayumi Horibe
4Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.
Michael J. Eisses
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
3Seattle Children’s Hospital, Seattle, WA, USA.
Trevor Adams
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
3Seattle Children’s Hospital, Seattle, WA, USA.
David E. Liston
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
3Seattle Children’s Hospital, Seattle, WA, USA.
Daniel King-Wai Low
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
3Seattle Children’s Hospital, Seattle, WA, USA.
Shu-Fang Newman
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Jerry Kim
2Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
3Seattle Children’s Hospital, Seattle, WA, USA.
Su-In Lee
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
5Department of Genome Sciences University of Washington, Seattle, WA, USA.
Posted October 21, 2017.
Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
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
bioRxiv 206540; doi: https://doi.org/10.1101/206540
Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
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
bioRxiv 206540; doi: https://doi.org/10.1101/206540
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