Article

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

2018-04-06

Abstract excerpt

<h4>Background</h4> We created a family of prognostic models for Ebola virus disease from the largest dataset of EVD patients published to date. We incorporated these models into an app, “Ebola Care Guidelines”, that provides access to recommended, evidence-based supportive care guidelines and highlights the signs/symptoms with the largest contribution to prognosis. <h4>Methods</h4> We applied multivariate logis...

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Literature Corpus work: 9a8fc780-f141-598f-bc20-91fd4f3a9ad0
DOI: 10.1101/294587

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