Harnessing Predictive Modeling to Advance HIV Self-Testing in SubSaharan Africa: A Viewpoint on Equity-Driven Implementation
ABSTRACT Predictive modeling presents a transformative opportunity to enhance HIV self-testing (HIVST) uptake across SubSaharan Africa (SSA). While machine learning techniques such as Random Forest (RF) and Classification and Regression Trees (CART) offer powerful tools for identifying high-risk po...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Makhdoomi Printers
2025-07-01
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Series: | Global Journal of Medicine and Public Health |
Subjects: | |
Online Access: | https://nicpd.ac.in/ojs-/index.php/gjmedph/article/view/4150 |
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