Author

David W. Shimabukuro

University of California, San FranciscoORCID 0000-0002-6742-9173Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:electronic health records· 1

Frequent Co-Authors

Christopher Barton· 2 shared Grant Fletcher· 2 shared Lisa Y. ShiehiD· 2 shared Ritankar DasiD· 2 shared Uli K. ChettipallyiD· 2 shared Abigail Green‐SaxenaiD· 1 shared Angier O. AlleniD· 1 shared Anna Lynn-Palevsky· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Christopher Barton

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2 papers

Recent·Most cited

BioinformaticsHealth Informatics JournalPeer-reviewedDec 30, 2019

Multicenter validation of a machine learning algorithm for 48 hour all-cause mortality prediction

Hamid Mohamadlou, Saarang Panchavati, Jacob Calvert…·Ritankar Das

This paper validates a machine learning algorithm for predicting 48-hour all-cause mortality across multiple centers, showing high AUROC values compared to qSOFA and MEWS.

20 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsBMJ OpenPeer-reviewedJan 1, 2018

Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Qingqing Mao, Melissa Jay, Jana L. Hoffman…·Ritankar Das

This paper validates a sepsis prediction algorithm using vital sign data across multiple settings, showing strong performance and generalizability.

336 citationstop 1%

machine learning (classical)benchmarking

𝕏 PostBluesky