Analysis of the Relationship of Systemic Lupus Erythematosus with exogenous factors in Peru

Author:

Angel Chamorro Quijano Sario1,Muñoz Melgarejo Mauricio2,Rodríguez Gilbert3,Marlene Muñoz Saenz Doris4,Caroline Muñoz Saenz Jenny2

Affiliation:

1. Department of Mechatronic Engineering, Universidad Continental, Peru

2. Department of Medicine, Universidad Peruana Los Andes, Peru

3. Department of Medicine, Universidad Nacional del Santa, Peru

4. Department of Education, Universidad Nacional de Educación Enrique Guzmán y Valle, Peru

Publisher

ACM

Reference17 articles.

1. Lupus eritematoso sistémico 2020

2. Pan American Health Organization . ( 2017 ). Health in the Americas+: Summary: Regional Outlook and Country Profiles . Pan American Health Organization . Pan American Health Organization. (2017). Health in the Americas+: Summary: Regional Outlook and Country Profiles. Pan American Health Organization.

3. Naghavi , M. 2015. Global , regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death , 1990 -2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet . 385, 9963 (2015), 117–171. DOI:https://doi.org/10.1016/S0140-6736(14)61682-2. 10.1016/S0140-6736(14)61682-2 Naghavi, M. 2015. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 385, 9963 (2015), 117–171. DOI:https://doi.org/10.1016/S0140-6736(14)61682-2.

4. Bvs.minsa.gob.pe 2011. [Online]. Available: http://bvs.minsa.gob.pe/local/MINSA/3652.pdf. Bvs.minsa.gob.pe 2011. [Online]. Available: http://bvs.minsa.gob.pe/local/MINSA/3652.pdf.

5. Avaliação e Análise da Série Temporal de Radiação UV Coletadas em Diferentes Cidades Peruanas

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1. Prediction of Paediatric Systemic Lupus Erythematosus Patients Using Machine Learning;EAI Endorsed Transactions on Pervasive Health and Technology;2024-06-24

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