A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China

OBJECTIVE: To establish a machine learning model for identifying patients coinfected with hepatitis B virus (HBV) and human immunodeficiency virus (HIV) through two sexual transmission routes in Jiangsu, China. METHODS: A total of 14197 HIV cases transmitted by homosexual and heterosexual routes wer...

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Detalles Bibliográficos
Autores principales: Yin, Yi, Xue, Mingyue, Shi, Lingen, Qiu, Tao, Xia, Derun, Fu, Gengfeng, Peng, Zhihang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024075/
https://www.ncbi.nlm.nih.gov/pubmed/33860053
http://dx.doi.org/10.1155/2021/6696041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024075/
https://www.ncbi.nlm.nih.gov/pubmed/33860053
http://dx.doi.org/10.1155/2021/6696041

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