Author

Franco van Wyk

University of Tennessee at KnoxvilleORCID 0000-0002-4025-6698Unclaimed 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 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anahita KhojandiiD· 1 shared Rishikesan KamaleswaraniD· 1 shared Robert Lowell DavisiD· 1 shared

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2018-2018 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Anahita KhojandiORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 15, 2018

Physiomarkers in Real-Time Physiological Data Streams Predict Adult Sepsis Onset Earlier Than Clinical Practice

Franco van Wyk, Anahita Khojandi, Robert Lowell Davis, Rishikesan Kamaleswaran

This study develops machine learning models to predict sepsis onset using real-time physiological data and white blood cell counts, achieving early detection up to 3.5 hours before symptoms.

4 citations

humanelectronic health records

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