Machine-learning Prognostic Models from the 2014–16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications

BACKGROUND: Ebola virus disease (EVD) plagues low-resource and difficult-to-access settings. Machine learning prognostic models and mHealth tools could improve the understanding and use of evidence-based care guidelines in such settings. However, data incompleteness and lack of interoperability limi...

Descripción completa

Detalles Bibliográficos
Autores principales: Colubri, Andres, Hartley, Mary-Anne, Siakor, Matthew, Wolfman, Vanessa, Felix, August, Sesay, Tom, Shaffer, Jeffrey G., Garry, Robert F., Grant, Donald S., Levine, Adam C., Sabeti, Pardis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610774/
https://www.ncbi.nlm.nih.gov/pubmed/31312805
http://dx.doi.org/10.1016/j.eclinm.2019.06.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610774/
https://www.ncbi.nlm.nih.gov/pubmed/31312805
http://dx.doi.org/10.1016/j.eclinm.2019.06.003

Ejemplares similares