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A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
by
Abade, André
,
Porto, Lucas Faria
,
Scholze, Alessandro Rolim
,
Kuntath, Daniely
,
Barros, Nathan da Silva
,
Berra, Thaís Zamboni
,
Ramos, Antonio Carlos Vieira
,
Arcêncio, Ricardo Alexandre
,
Alves, Josilene Dália
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Scientific Reports
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639/705/1046
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639/705/117
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692/699/255/1856
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692/699/255/1901
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Coinfection - Epidemiology
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Comparative Analysis
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Deep Learning
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Female
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Forecasting - Methods
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Global Health
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Hiv
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Hiv Infections - Complications
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Hiv Infections - Epidemiology
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Human Immunodeficiency Virus
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