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A Risk Prediction Model to Identify People Living with HIV Who are High-risk for Disengagement from Care after HIV Diagnosis in South Africa.
- Source :
- AIDS & Behavior; Oct2024, Vol. 28 Issue 10, p3362-3372, 11p
- Publication Year :
- 2024
-
Abstract
- <i>Copyright of AIDS & Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- DIAGNOSIS of HIV infections
RISK assessment
PREDICTION models
ANTIRETROVIRAL agents
RESEARCH funding
RESEARCH methodology evaluation
MULTIPLE regression analysis
MULTIVARIATE analysis
DESCRIPTIVE statistics
PSYCHOLOGICAL adaptation
CONFIDENCE
PSYCHOLOGY of HIV-positive persons
EXPERIMENTAL design
LONGITUDINAL method
PSYCHOLOGICAL disengagement
RESEARCH methodology
MATHEMATICAL models
MACHINE learning
THEORY
ALCOHOL drinking
REGRESSION analysis
Subjects
Details
- Language :
- English
- ISSN :
- 10907165
- Volume :
- 28
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- AIDS & Behavior
- Publication Type :
- Academic Journal
- Accession number :
- 179949212
- Full Text :
- https://doi.org/10.1007/s10461-024-04430-y