Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model

BACKGROUND: Highly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency syndrome (AIDS) patients. However, poor adherence to the therapy makes it ineffective. In this work, we construct an adherence prediction model of AI...

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Detalles Bibliográficos
Autores principales: Li, Min, Wang, Qunwei, Shen, Yinzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842065/
https://www.ncbi.nlm.nih.gov/pubmed/33509194
http://dx.doi.org/10.1186/s12981-020-00326-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7842065/
https://www.ncbi.nlm.nih.gov/pubmed/33509194
http://dx.doi.org/10.1186/s12981-020-00326-8

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