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Mary-Anne Hartley

University of Lausanne - Digital Global Health Department

Quartier Chambronne

Lausanne, Vaud CH-1015

Switzerland

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Scholarly Papers (1)

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Machine Learning and mHealth Techniques to Improve Prognostication and Clinical Management of Patients with Ebola Virus Disease

Number of pages: 49 Posted: 29 Oct 2018
Andres Colubri, Mary-Anne Hartley, Mathew Siakor, Vanessa Wolfman, Tom Sesay, August Felix, Adam C. Levine, Adam C. Levine and Pardis C. Sabeti
Harvard University - Department of Organismic and Evolutionary Biology, University of Lausanne - Digital Global Health Department, International Medical Corps., International Medical Corps., Government of Sierra Leone - Ministry of Health and Sanitation, Massachusetts Institute of Technology and Harvard University - Broad Institute, Brown UniversityInternational Medical Corps. and Massachusetts Institute of Technology and Harvard University - Broad Institute
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Ebola Virus Disease, Prognostic Models, Machine Learning, Data Visualization, Severity Score, mHealth, Supportive Care Guidelines, Clinical Intuition