Prediction of the risk of cytopenia in hospitalized HIV/AIDS patients using machine learning methods based on electronic medical records

BACKGROUND: Cytopenia is a frequent complication among HIV-infected patients who require hospitalization. It can have a negative impact on the treatment outcomes for these patients. However, by leveraging machine learning techniques and electronic medical records, a predictive model can be developed...

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Detalles Bibliográficos
Autores principales: Huang, Liling, Xie, Bo, Zhang, Kai, Xu, Yuanlong, Su, Lingsong, Lv, Yu, Lu, Yangjie, Qin, Jianqiu, Pang, Xianwu, Qiu, Hong, Li, Lanxiang, Wei, Xihua, Huang, Kui, Meng, Zhihao, Hu, Yanling, Lv, Jiannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416630/
https://www.ncbi.nlm.nih.gov/pubmed/37575113
http://dx.doi.org/10.3389/fpubh.2023.1184831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416630/
https://www.ncbi.nlm.nih.gov/pubmed/37575113
http://dx.doi.org/10.3389/fpubh.2023.1184831

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