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

• Main Authors: Andres Colubri (Author), Tom Silver (Author), Terrence Fradet (Author), Kalliroi Retzepi (Author), Ben Fry (Author), Pardis Sabeti (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2016-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 be...