Prediction of the occurrence of leprosy reactions based on Bayesian networks

Prediction of the occurrence of leprosy reactions based on Bayesian networks

IntroductionLeprosy reactions (LR) are severe episodes of intense activation of the host inflammatory response of uncertain etiology, today the leading cause of permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there are lim...

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Main Authors: Rafael Saraiva de Andrade Rodrigues, Eduardo Ferreira José Heise, Luis Felipe Hartmann, Guilherme Eduardo Rocha, Marcia Olandoski, Mariane Martins de Araújo Stefani, Ana Carla Pereira Latini, Cleverson Teixeira Soares, Andrea Belone, Patrícia Sammarco Rosa, Maria Araci de Andrade Pontes, Heitor de Sá Gonçalves, Rossilene Cruz, Maria Lúcia Fernandes Penna, Deborah Ribeiro Carvalho, Vinicius Medeiros Fava, Samira Bührer-Sékula, Gerson Oliveira Penna, Claudia Maria Cabral Moro, Julio Cesar Nievola, Marcelo Távora Mira
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Medicine
Subjects:
leprosy
leprosy reactions
risk
Bayesian networks
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1233220/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1233220/full

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