Author

Grant Fletcher

University of Washington

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· 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 David W. ShimabukuroiD· 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

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

Hamid Mohamadlou, Saarang Panchavati, Jacob Calvert, Anna Lynn-Palevsky, Sidney Le, Angier O. Allen, Emily Pellegrini, Abigail Green‐Saxena, Christopher Barton, Grant Fletcher, Lisa Y. Shieh, Philip B. Stark, Uli K. Chettipally, David W. Shimabukuro, Mitchell D. Feldman, 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.

Health Informatics Journal · Dec 30, 2019Peer-reviewedBioinformatics

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, Jacob S. Calvert, Christopher Barton, David W. Shimabukuro, Lisa Y. Shieh, Uli K. Chettipally, Grant Fletcher, Yaniv Kerem, Yifan Zhou, Ritankar Das

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

BMJ Open · Jan 1, 2018Peer-reviewedBioinformatics