[Viper :: Machine Learning, Data Mining and Information Retrieval]

Machine learning to identify socio-behavioural predictors of HIV positivity in East and Southern Africa

Bibtex entry :

@article { orel:medrxiv2020,
    author = { Orel, Erol and Esra, Rachel and Estill, Janne and Marchand-Maillet, St{\'e}phane and Merzouki, Aziza and Keiser, Olivia },
    title = { Machine learning to identify socio-behavioural predictors of HIV positivity in East and Southern Africa },
    elocation-id = { 2020.01.27.20018242 },
    year = { 2020 },
    doi = { 10.1101/2020.01.27.20018242 },
    publisher = { Cold Spring Harbor Laboratory Press },
    url = { https://www.medrxiv.org/content/early/2020/01/27/2020.01.27.20018242 },
    eprint = { https://www.medrxiv.org/content/early/2020/01/27/2020.01.27.20018242.full.pdf },
    journal = { medRxiv },
}

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion