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Lucien De Voux

Biographic Data

ID9070677
NAMELucien De Voux
GIVEN NAMESLucien
FAMILY NAMEDe Voux
SIGNATUREDE VOUX L
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States

    Open Access•Mukhtar Ijaiya, Erica Troncoso et al.•ARTICLE•PLOS Global Public Health•2025

    Nigeria, with the second-largest HIV epidemic globally, faces challenges in achieving its HIV epidemic control goals by 2030, with interruptions in treatment (IIT) a significant challenge. Machine learning (ML) models can help HIV programs implement targeted interventions to improve the quality of care, develop effective early interventions, and provide insights into optimal resource allocation and program sustainability. This paper aims to ident…

  • Historical visit attendance as predictor of treatment interruption in South African HIV patients

    Open Access•Rachel T Esra, Jacques Carstens et al.•ARTICLE•PLOS Global Public Health•2023

    Retention of antiretroviral (ART) patients is a priority for achieving HIV epidemic control in South Africa. While machine-learning methods are being increasingly utilised to identify high risk populations for suboptimal HIV service utilisation, they are limited in terms of explaining relationships between predictors. To further understand these relationships, we implemented machine learning methods optimised for predictive power and traditional …

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  • Historical visit attendance as predictor of treatment interruption in South African HIV patients

    Open Access•Rachel T Esra, Jacques Carstens et al.•ARTICLE•PLOS Global Public Health•2023

    Retention of antiretroviral (ART) patients is a priority for achieving HIV epidemic control in South Africa. While machine-learning methods are being increasingly utilised to identify high risk populations for suboptimal HIV service utilisation, they are limited in terms of explaining relationships between predictors. To further understand these relationships, we implemented machine learning methods optimised for predictive power and traditional …

  • Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States

    Open Access•Mukhtar Ijaiya, Erica Troncoso et al.•ARTICLE•PLOS Global Public Health•2025

    Nigeria, with the second-largest HIV epidemic globally, faces challenges in achieving its HIV epidemic control goals by 2030, with interruptions in treatment (IIT) a significant challenge. Machine learning (ML) models can help HIV programs implement targeted interventions to improve the quality of care, develop effective early interventions, and provide insights into optimal resource allocation and program sustainability. This paper aims to ident…

Artificial Intelligence (2 works) · Computer Science (2 works) · HIV, Drug Use, Sexual Risk (2 works) · HIV/AIDS Research and Interventions (2 works) · Machine learning (2 works) · Medicine (2 works) · AdaBoost (1 work) · Attendance (1 work) · Categorical variable (1 work) · Cohort (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae