Ebola Care Guidelines is a research app that illustrates the use of machine learning prognostic models for tailored access to evidence-based supportive care guidelines for Ebola patients. Get a preprint of the article describing the app and models from:
http://biorxiv.org/cgi/content/short/294587
This app calculates prognosis for Ebola virus disease patients using information available at triage. The app then highlights the signs/symptoms with the largest contribution to the risk as well as providing simplified and targeted access to the recommended supportive care guidelines from WHO. The prognostic models were derived from 470 patients admitted to five Ebola treatment units (ETUs) in Liberia and Sierra Leone during the 2014-16 outbreak, and validated with two independent datasets from Sierra Leone.
http://biorxiv.org/cgi/content/short/294587
This app calculates prognosis for Ebola virus disease patients using information available at triage. The app then highlights the signs/symptoms with the largest contribution to the risk as well as providing simplified and targeted access to the recommended supportive care guidelines from WHO. The prognostic models were derived from 470 patients admitted to five Ebola treatment units (ETUs) in Liberia and Sierra Leone during the 2014-16 outbreak, and validated with two independent datasets from Sierra Leone.
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