Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

BACKGROUND: Assessment of the response to the 2014–15 Ebola outbreak indicates the need for innovations in data collection, sharing, and use to improve case detection and treatment. Here we introduce a Machine Learning pipeline for Ebola Virus Disease (EVD) prognosis prediction, which packages the b...

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Detalles Bibliográficos
Autores principales: Colubri, Andres, Silver, Tom, Fradet, Terrence, Retzepi, Kalliroi, Fry, Ben, Sabeti, Pardis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4798608/
https://www.ncbi.nlm.nih.gov/pubmed/26991501
http://dx.doi.org/10.1371/journal.pntd.0004549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4798608/
https://www.ncbi.nlm.nih.gov/pubmed/26991501
http://dx.doi.org/10.1371/journal.pntd.0004549

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