Author

Mayumi Horibe

VA Puget Sound Health Care System

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bala G. NairiD· 1 shared Daniel King‐Wai Low· 1 shared David E. ListoniD· 1 shared Jerry W. KimiD· 1 shared Michael J. Eisses· 1 shared Monica Shanta VavilalaiD· 1 shared Scott LundbergiD· 1 shared Shu-Fang Newman· 1 shared

Activity by Year

2017-2017 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Bala G. NairORCID

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1 paper

Recent·Most cited

Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

Scott Lundberg, Bala G. Nair, Monica Shanta Vavilala, Mayumi Horibe, Michael J. Eisses, Trevor Adams, David E. Liston, Daniel King‐Wai Low, Shu-Fang Newman, Jerry W. Kim, Su‐In Lee

The paper develops a machine learning system called Prescience to predict hypoxemia risk during surgery and improve anesthesiologists' ability to prevent it by providing interpretable explanations.

bioRxiv · Oct 21, 2017 · PreprintBioinformatics