Author

Qingqing Mao

Dascena (United States)ORCID 0000-0001-6001-6723Unclaimed 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 Organism:human· 1

Frequent Co-Authors

Christopher Barton· 2 shared Jacob S. CalvertiD· 2 shared Jana L. HoffmaniD· 2 shared Melissa Jay· 2 shared Ritankar DasiD· 2 shared David W. ShimabukuroiD· 1 shared Grant Fletcher· 1 shared Lisa Y. ShiehiD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Christopher Barton

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2 papers

Recent·Most cited

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

BioinformaticsbioRxivPreprintNov 22, 2017

Pediatric Severe Sepsis Prediction Using Machine Learning

Thomas Desautels, Jana L. Hoffman, Christopher Barton…·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.

11 citations

humanelectronic health records

𝕏 PostBluesky