Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model
Abstract 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 mod...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-01-01
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| Series: | AIDS Research and Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12981-020-00326-8 |