Author

Monica Shanta Vavilala

University of WashingtonORCID 0000-0002-2354-5279Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Mayumi Horibe· 1 shared Michael J. Eisses· 1 shared Scott LundbergiD· 1 shared Shu-Fang Newman· 1 shared

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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

BioinformaticsbioRxivPreprintOct 21, 2017

Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

Scott Lundberg, Bala G. Nair, Monica Shanta Vavilala…·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.

34 citations

humanelectronic health records

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