Author

Matthew Siakor

International Medical Corps

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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 Pardis Christine SabetiiD· 1 shared Robert F. GarryiD· 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

Adam C. LevineORCID

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1 paper

Recent·Most cited

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, Vanessa Wolfman, August Felix, Tom Sesay, Jeffrey G. Shaffer, Robert F. Garry, Donald Samuel Grant, Adam C. Levine, 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.

EClinicalMedicine · May 1, 2019Peer-reviewedBioinformatics