An ensemble approach for supporting the respiratory isolation of presumed tuberculosis inpatients

Author:

Alves E.d.S.,Souza Filho João B.O.ORCID,Kritski A.L.

Funder

CAPES

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference73 articles.

1. Technical Report, URL: http://www.stoptb.org/assets/documents/global/plan/GlobalPlanToEndTB_TheParadigmShift_2016-2020_StopTBPartnership.pdf. Accessed on Jan 2018.

2. Tuberculosis: renewed challenge in brazil;Kritski;Rev. Soc. Bras. Med. Trop.,2018

3. An intelligent system for managing the isolation of patients suspected of pulmonary tuberculosis;de Oliveira Souza Filho,2012

4. Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models;de Oliveira Souza Filho;Tuberculosis,2018

5. A screening system for smear-negative pulmonary tuberculosis using artificial neural networks;de Oliveira Souza Filho;Int. J. Infect. Dis.,2016

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