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Tuberculosis control, and the where and why of artificial intelligence
Countries aiming to reduce their tuberculosis (TB) burden by 2035 to the levels envisaged by the World Health Organization End TB Strategy need to innovate, with approaches such as digital health (electronic and mobile health) in support of patient care, surveillance, programme management, training...
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| Publicado no: | ERJ Open Res |
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| Principais autores: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
European Respiratory Society
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5478795/ https://ncbi.nlm.nih.gov/pubmed/28656130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1183/23120541.00056-2017 |
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