Author

Philip B. Stark

University of California, BerkeleyORCID 0000-0002-3771-9604Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Abigail Green‐SaxenaiD· 1 shared Angier O. AlleniD· 1 shared Anna Lynn-Palevsky· 1 shared Christopher Barton· 1 shared David W. ShimabukuroiD· 1 shared Emily PellegriniiD· 1 shared Grant Fletcher· 1 shared Hamid Mohamadlou· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Abigail Green‐SaxenaORCID

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1 paper

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