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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...
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| Publicado no: | EClinicalMedicine |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6610774/ https://ncbi.nlm.nih.gov/pubmed/31312805 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.eclinm.2019.06.003 |
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