Machine-learning Prognostic Models from the 2014–16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications

Background: Ebola virus disease (EVD) plagues low-resource and difficult-to-access settings. Machine learning prognostic models and mHealth tools could improve the understanding and use of evidence-based care guidelines in such settings. However, data incompleteness and lack of interoperability limi...

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Bibliografische Detailangaben

Hauptverfasser:	Andres Colubri, Mary-Anne Hartley, Matthew Siakor, Vanessa Wolfman, August Felix, Tom Sesay, Jeffrey G. Shaffer, Robert F. Garry, Donald S. Grant, Adam C. Levine, Pardis C. Sabeti
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2019-05-01
Schriftenreihe:	EClinicalMedicine
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2589537019300963
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