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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| 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 |