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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Detaylı Bibliyografya
Yayımlandı:ERJ Open Res
Asıl Yazarlar: Doshi, Riddhi, Falzon, Dennis, Thomas, Bruce V., Temesgen, Zelalem, Sadasivan, Lal, Migliori, Giovanni Battista, Raviglione, Mario
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: European Respiratory Society 2017
Konular:
Review
Online Erişim: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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