Author

Tom Sesay

Ministry of Health and SanitationORCID 0000-0003-1713-5860Unclaimed 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 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam C. LevineiD· 1 shared Andrés ColubriiD· 1 shared August Felix· 1 shared Donald Samuel GrantiD· 1 shared Jeffrey G. ShafferiD· 1 shared Mary‐Anne HartleyiD· 1 shared Matthew Siakor· 1 shared Pardis Christine SabetiiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adam C. LevineORCID

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1 paper

Recent·Most cited

BioinformaticsEClinicalMedicinePeer-reviewedMay 1, 2019

Machine-Learning prognostic models from the 2014-16 Ebola outbreak: data-harmonization challenges, validation strategies, and mHealth applications

Andrés Colubri, Mary‐Anne Hartley, Matthew Siakor…·Pardis Christine Sabeti

The paper develops machine-learning prognostic models for Ebola virus disease using data from the 2014-16 outbreak, validated across independent datasets and integrated into a mobile health app.

60 citationstop 2%

machine learning (classical)benchmarking

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