Author

Jana L. Hoffman

Dascena (United States)ORCID 0000-0002-7745-3900Unclaimed 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:benchmarking· 3 Approach:machine learning (classical)· 3 Organism:human· 2 Assay:electronic health records· 1

Frequent Co-Authors

Ritankar DasiD· 3 shared Christopher Barton· 2 shared Jacob S. CalvertiD· 2 shared Melissa Jay· 2 shared Qingqing MaoiD· 2 shared Andrea McCoy· 1 shared Carol GuiD· 1 shared David W. ShimabukuroiD· 1 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Ritankar DasORCID

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Author profile →

3 papers

Recent·Most cited

Effect of a Sepsis Prediction Algorithm on Patient Mortality, Length of Stay, and Readmission

Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Andrea McCoy, Carol Gu, Jonathan Roberts, Joseph Slote, Nicholas Saber, Jana L. Hoffman, Ritankar Das

This paper evaluates a machine learning algorithm for predicting severe sepsis and shows it reduces mortality, length of stay, and readmission rates in real-world clinical use.

bioRxiv · Oct 31, 2018 · PreprintBioinformatics

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

Pediatric Severe Sepsis Prediction Using Machine Learning

Thomas Desautels, Jana L. Hoffman, Christopher Barton, Qingqing Mao, Melissa Jay, Jacob S. Calvert, Ritankar Das

This study develops a machine learning algorithm using EHR data to predict pediatric severe sepsis onset, achieving high AUROC scores and outperforming existing clinical scores.

bioRxiv · Nov 22, 2017 · PreprintBioinformatics