Machine-learning prognostic models from the 2014-16 ebola outbreak: data-harmonization challenges, validation strategies, and mhealth applications

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  • who: Data visualization and colleagues from the Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, USA have published the research: Machine-learning Prognostic Models from the 2014-16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications, in the Journal: (JOURNAL) of September/15,/2014
  • what: While this study showed the potential for such an approach, the models were limited by the narrow geographical and temporal scope of the relatively small and incomplete dataset. This approach has been shown to outperform predictive value imputation, which consists of having only one full model and . . .

     

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